{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# scRNA-seq Example\n",
    "Examples to use ``GSEApy`` for scRNA-seq data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "import os\n",
    "import numpy as np\n",
    "import pandas as pd \n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import gseapy as gp\n",
    "import scanpy as sc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'1.0.5'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gp.__version__"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Read Demo Data\n",
    "\n",
    "Convert demo data from seurat to scanpy\n",
    "```R\n",
    "## R code\n",
    "library(Seurat)\n",
    "library(SeuratDisk)\n",
    "ifnb = SeuratData::LoadData(\"ifnb\")\n",
    "SaveH5Seurat(ifnb, \"ifnb.h5seurat\", overwrite = T)\n",
    "Convert(\"ifnb.h5seurat\", \"ifnb.h5ad\", overwrite = T)\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "adata = sc.read_h5ad(\"data/ifnb.h5ad\") # data from SeuratData::ifnb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>orig.ident</th>\n",
       "      <th>nCount_RNA</th>\n",
       "      <th>nFeature_RNA</th>\n",
       "      <th>stim</th>\n",
       "      <th>seurat_annotations</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AAACATACATTTCC.1</th>\n",
       "      <td>IMMUNE_CTRL</td>\n",
       "      <td>3017.0</td>\n",
       "      <td>877</td>\n",
       "      <td>CTRL</td>\n",
       "      <td>CD14 Mono</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AAACATACCAGAAA.1</th>\n",
       "      <td>IMMUNE_CTRL</td>\n",
       "      <td>2481.0</td>\n",
       "      <td>713</td>\n",
       "      <td>CTRL</td>\n",
       "      <td>CD14 Mono</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AAACATACCTCGCT.1</th>\n",
       "      <td>IMMUNE_CTRL</td>\n",
       "      <td>3420.0</td>\n",
       "      <td>850</td>\n",
       "      <td>CTRL</td>\n",
       "      <td>CD14 Mono</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AAACATACCTGGTA.1</th>\n",
       "      <td>IMMUNE_CTRL</td>\n",
       "      <td>3156.0</td>\n",
       "      <td>1109</td>\n",
       "      <td>CTRL</td>\n",
       "      <td>pDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AAACATACGATGAA.1</th>\n",
       "      <td>IMMUNE_CTRL</td>\n",
       "      <td>1868.0</td>\n",
       "      <td>634</td>\n",
       "      <td>CTRL</td>\n",
       "      <td>CD4 Memory T</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   orig.ident  nCount_RNA  nFeature_RNA  stim  \\\n",
       "AAACATACATTTCC.1  IMMUNE_CTRL      3017.0           877  CTRL   \n",
       "AAACATACCAGAAA.1  IMMUNE_CTRL      2481.0           713  CTRL   \n",
       "AAACATACCTCGCT.1  IMMUNE_CTRL      3420.0           850  CTRL   \n",
       "AAACATACCTGGTA.1  IMMUNE_CTRL      3156.0          1109  CTRL   \n",
       "AAACATACGATGAA.1  IMMUNE_CTRL      1868.0           634  CTRL   \n",
       "\n",
       "                 seurat_annotations  \n",
       "AAACATACATTTCC.1          CD14 Mono  \n",
       "AAACATACCAGAAA.1          CD14 Mono  \n",
       "AAACATACCTCGCT.1          CD14 Mono  \n",
       "AAACATACCTGGTA.1                pDC  \n",
       "AAACATACGATGAA.1       CD4 Memory T  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adata.obs.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "adata.layers['counts'] = adata.X # Save raw counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# preprocessing\n",
    "sc.pp.normalize_total(adata, target_sum=1e4)\n",
    "sc.pp.log1p(adata)\n",
    "adata.layers['lognorm'] = adata.X"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "seurat_annotations  stim\n",
       "B                   STIM     571\n",
       "                    CTRL     407\n",
       "B Activated         STIM     203\n",
       "                    CTRL     185\n",
       "CD14 Mono           CTRL    2215\n",
       "                    STIM    2147\n",
       "CD16 Mono           STIM     537\n",
       "                    CTRL     507\n",
       "CD4 Memory T        STIM     903\n",
       "                    CTRL     859\n",
       "CD4 Naive T         STIM    1526\n",
       "                    CTRL     978\n",
       "CD8 T               STIM     462\n",
       "                    CTRL     352\n",
       "DC                  CTRL     258\n",
       "                    STIM     214\n",
       "Eryth               STIM      32\n",
       "                    CTRL      23\n",
       "Mk                  STIM     121\n",
       "                    CTRL     115\n",
       "NK                  STIM     321\n",
       "                    CTRL     298\n",
       "T activated         STIM     333\n",
       "                    CTRL     300\n",
       "pDC                 STIM      81\n",
       "                    CTRL      51\n",
       "Name: stim, dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adata.obs.groupby('seurat_annotations')['stim'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# set STIM as class 0, CTRL as class 1, to make categorical\n",
    "adata.obs['stim'] = pd.Categorical(adata.obs['stim'], categories=[\"STIM\", \"CTRL\"], ordered=True)\n",
    "indices = adata.obs.sort_values(['seurat_annotations', 'stim']).index\n",
    "adata = adata[indices,:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # # subset and write GCT and CLS file\n",
    "# outdir = \"ifnb/\"\n",
    "# for cell in adata.obs.seurat_annotations.unique():\n",
    "#     bdata = adata[adata.obs.seurat_annotations == cell ]\n",
    "#     groups = bdata.obs['stim'].to_list()\n",
    "#     cls_dict = bdata.obs['stim'].to_dict()\n",
    "#     gs = bdata.to_df().T\n",
    "#     gs.index.name = \"NAME\"\n",
    "    \n",
    "#     gs_std = gs.groupby(by=cls_dict, axis=1).std()\n",
    "#     gs = gs[gs_std.sum(axis=1) > 0]\n",
    "#     gs= gs + 1e-08  # we don't like zeros!!!\n",
    "    \n",
    "#     gs.insert(0, column=\"Description\", value=cell,)\n",
    "#     outname = os.path.join( outdir, cell + \".gct\")\n",
    "#     outcls = os.path.join(outdir, cell +\".cls\")\n",
    "#     s_len = gs.shape[1] - 1\n",
    "#     with open(outname,\"w\") as correct:\n",
    "#         line1=\"#1.2\\n\"+f\"{gs.shape[0]}\\t{s_len}\\n\"\n",
    "#         correct.write(line1)\n",
    "#         gs.to_csv(correct, sep=\"\\t\")\n",
    "        \n",
    "#     with open(outcls, \"w\") as cl:\n",
    "#         line = f\"{len(groups)} 2 1\\n# STIM CTRL\\n\"\n",
    "#         cl.write(line)\n",
    "#         cl.write(\" \".join(groups) + \"\\n\")\n",
    "#     print(outname)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AnnData object with n_obs × n_vars = 4362 × 14053\n",
       "    obs: 'orig.ident', 'nCount_RNA', 'nFeature_RNA', 'stim', 'seurat_annotations'\n",
       "    var: 'features'\n",
       "    uns: 'log1p'\n",
       "    layers: 'counts', 'lognorm'"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# subset data\n",
    "bdata = adata[adata.obs.seurat_annotations == \"CD14 Mono\"].copy()\n",
    "bdata"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### GSEA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "60.238986015319824\n"
     ]
    }
   ],
   "source": [
    "import time\n",
    "t1 = time.time()\n",
    "# NOTE: To speed up, use gp.prerank instead with your own ranked list.\n",
    "res = gp.gsea(data=bdata.to_df().T, # row -> genes, column-> samples\n",
    "        gene_sets=\"GO_Biological_Process_2021\",\n",
    "        cls=bdata.obs.stim,\n",
    "        permutation_num=1000,\n",
    "        permutation_type='phenotype', \n",
    "        outdir=None,\n",
    "        method='s2n', # signal_to_noise\n",
    "        threads= 16)\n",
    "t2=time.time()\n",
    "print(t2-t1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Name</th>\n",
       "      <th>Term</th>\n",
       "      <th>ES</th>\n",
       "      <th>NES</th>\n",
       "      <th>NOM p-val</th>\n",
       "      <th>FDR q-val</th>\n",
       "      <th>FWER p-val</th>\n",
       "      <th>Tag %</th>\n",
       "      <th>Gene %</th>\n",
       "      <th>Lead_genes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>gsea</td>\n",
       "      <td>cytokine-mediated signaling pathway (GO:0019221)</td>\n",
       "      <td>0.685491</td>\n",
       "      <td>3.759972</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>140/490</td>\n",
       "      <td>9.03%</td>\n",
       "      <td>ISG15;IFIT3;IFIT1;RSAD2;ISG20;CXCL10;IFITM3;CX...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>gsea</td>\n",
       "      <td>innate immune response (GO:0045087)</td>\n",
       "      <td>0.784391</td>\n",
       "      <td>3.66143</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>56/188</td>\n",
       "      <td>6.30%</td>\n",
       "      <td>ISG15;IFIT1;CXCL10;IFITM3;APOBEC3A;MX1;IFI6;OA...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>gsea</td>\n",
       "      <td>regulation of immune response (GO:0050776)</td>\n",
       "      <td>0.759354</td>\n",
       "      <td>3.549856</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>49/140</td>\n",
       "      <td>8.77%</td>\n",
       "      <td>RSAD2;IRF7;PLSCR1;HERC5;IL4I1;SLAMF7;IFITM1;HL...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>gsea</td>\n",
       "      <td>defense response to virus (GO:0051607)</td>\n",
       "      <td>0.903464</td>\n",
       "      <td>3.438759</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>42/108</td>\n",
       "      <td>2.85%</td>\n",
       "      <td>ISG15;IFIT3;IFIT1;RSAD2;ISG20;CXCL10;IFITM3;AP...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>gsea</td>\n",
       "      <td>response to cytokine (GO:0034097)</td>\n",
       "      <td>0.718931</td>\n",
       "      <td>3.37735</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>37/120</td>\n",
       "      <td>7.26%</td>\n",
       "      <td>ISG15;IFITM3;MX1;IFITM2;PLSCR1;MX2;BST2;EIF2AK...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>gsea</td>\n",
       "      <td>defense response to symbiont (GO:0140546)</td>\n",
       "      <td>0.904717</td>\n",
       "      <td>3.362051</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>49/100</td>\n",
       "      <td>4.90%</td>\n",
       "      <td>ISG15;IFIT3;IFIT1;RSAD2;ISG20;IFITM3;APOBEC3A;...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>gsea</td>\n",
       "      <td>cellular response to interferon-gamma (GO:0071...</td>\n",
       "      <td>0.792726</td>\n",
       "      <td>3.327923</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>49/99</td>\n",
       "      <td>7.18%</td>\n",
       "      <td>CCL8;OAS1;MT2A;OASL;IRF7;GBP1;GBP4;CCL2;OAS3;O...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>gsea</td>\n",
       "      <td>regulation of interferon-beta production (GO:0...</td>\n",
       "      <td>0.856704</td>\n",
       "      <td>3.259412</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14/44</td>\n",
       "      <td>4.94%</td>\n",
       "      <td>ISG15;OAS1;IRF7;DDX58;IFIH1;OAS3;OAS2;DHX58;HS...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>gsea</td>\n",
       "      <td>RNA splicing, via transesterification reaction...</td>\n",
       "      <td>-0.626583</td>\n",
       "      <td>-3.225436</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>128/234</td>\n",
       "      <td>19.45%</td>\n",
       "      <td>YBX1;PABPC1;HNRNPA1;DDX5;SRSF9;HNRNPM;RBMX;SF3...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>gsea</td>\n",
       "      <td>gene expression (GO:0010467)</td>\n",
       "      <td>-0.70455</td>\n",
       "      <td>-3.219153</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>134/322</td>\n",
       "      <td>10.13%</td>\n",
       "      <td>RPL6;RPL7;RPL15;RPL10;RPS3A;RPS6;RPL8;RPL21;RP...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Name                                               Term        ES  \\\n",
       "0  gsea   cytokine-mediated signaling pathway (GO:0019221)  0.685491   \n",
       "1  gsea                innate immune response (GO:0045087)  0.784391   \n",
       "2  gsea         regulation of immune response (GO:0050776)  0.759354   \n",
       "3  gsea             defense response to virus (GO:0051607)  0.903464   \n",
       "4  gsea                  response to cytokine (GO:0034097)  0.718931   \n",
       "5  gsea          defense response to symbiont (GO:0140546)  0.904717   \n",
       "6  gsea  cellular response to interferon-gamma (GO:0071...  0.792726   \n",
       "7  gsea  regulation of interferon-beta production (GO:0...  0.856704   \n",
       "8  gsea  RNA splicing, via transesterification reaction... -0.626583   \n",
       "9  gsea                       gene expression (GO:0010467)  -0.70455   \n",
       "\n",
       "        NES NOM p-val FDR q-val FWER p-val    Tag %  Gene %  \\\n",
       "0  3.759972       0.0       0.0        0.0  140/490   9.03%   \n",
       "1   3.66143       0.0       0.0        0.0   56/188   6.30%   \n",
       "2  3.549856       0.0       0.0        0.0   49/140   8.77%   \n",
       "3  3.438759       0.0       0.0        0.0   42/108   2.85%   \n",
       "4   3.37735       0.0       0.0        0.0   37/120   7.26%   \n",
       "5  3.362051       0.0       0.0        0.0   49/100   4.90%   \n",
       "6  3.327923       0.0       0.0        0.0    49/99   7.18%   \n",
       "7  3.259412       0.0       0.0        0.0    14/44   4.94%   \n",
       "8 -3.225436       0.0       0.0        0.0  128/234  19.45%   \n",
       "9 -3.219153       0.0       0.0        0.0  134/322  10.13%   \n",
       "\n",
       "                                          Lead_genes  \n",
       "0  ISG15;IFIT3;IFIT1;RSAD2;ISG20;CXCL10;IFITM3;CX...  \n",
       "1  ISG15;IFIT1;CXCL10;IFITM3;APOBEC3A;MX1;IFI6;OA...  \n",
       "2  RSAD2;IRF7;PLSCR1;HERC5;IL4I1;SLAMF7;IFITM1;HL...  \n",
       "3  ISG15;IFIT3;IFIT1;RSAD2;ISG20;CXCL10;IFITM3;AP...  \n",
       "4  ISG15;IFITM3;MX1;IFITM2;PLSCR1;MX2;BST2;EIF2AK...  \n",
       "5  ISG15;IFIT3;IFIT1;RSAD2;ISG20;IFITM3;APOBEC3A;...  \n",
       "6  CCL8;OAS1;MT2A;OASL;IRF7;GBP1;GBP4;CCL2;OAS3;O...  \n",
       "7  ISG15;OAS1;IRF7;DDX58;IFIH1;OAS3;OAS2;DHX58;HS...  \n",
       "8  YBX1;PABPC1;HNRNPA1;DDX5;SRSF9;HNRNPM;RBMX;SF3...  \n",
       "9  RPL6;RPL7;RPL15;RPL10;RPS3A;RPS6;RPL8;RPL21;RP...  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "res.res2d.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(13216,)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "res.ranking.shape # raking metric"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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TVgKHuPvyRLZeqWLrgU+6+8/c/USa94LuQtynzWwLmn6P7nT3G/O1JdWu4wmB9ThCR8EfCUcsnolZTgKeMrMds1YQOh4yRuTI06gjh25fy5I2rJ11ZBo2JJW+MDW9qI31pXeg3llz5avAbEvCl0CuL9wNqj+P9LZLr3N6Ote2npuark6MtzWg76y2dJXFqR+06tT89v5x6eh+m5btM7EpLD9Z/0p3r0nN7+x96zPAuVnKX0f2K86Xu3t9Km1xanpIfG3PfRlb/eJL+SbhZOy26Mhnv63rme2KvrZ83zZ7H929zsyWEXpUkvmHtNKG9HQubf2+HZrK+26OfJ0puW2y/X6k04YSzudLm5ua7sj3KbS+336Qmk7fI+8JQqAzlOaHtJMW0HQqwBAzG+xNh+qbGmI2hKZb0mTKtdVywqF2aDrUmjQolRdCYNtA0/Zqa7lGnrojg5n9hNA7N4pwuPRamv+ZIJG3hNAjPyomzQc+6y0Pva5MTb/q7sn95DGaXzm9PaEz6FeEi2MWE86taxMz2ym2uzgmHenuj8Z55xP+uG5HOFXpZ8AJ2arJMZ5VRwK9bF9G6X8qd5A4Bp7FrPi6KpU+kuZfBqPJLXkPnL6peR25KeShNA/yvk84WXVl/Gea77LqDZHedqNpfi5Dehvk+ldYm5ruyD/DzmpLV+mMdUxKt/8C8t/jLtf5lh3dNzr6uWnr8pP1DzWzXqlgb2PuW9kMN7PCVBA0KpVnFU2HKDJfaI8SzmXMJd3D15pjE+MLCLdfeM7dq83sDMI9ITdEW9czm7Z83zZ7H+PtdZI9fpn86WWMovltjdJtSurI9+1Kmr9v2+Spv7Mkt0223490WvpHPqOz9vmlNN0OJNsfqUdpHgwdY2Y/dvdKAHd/ntBzNYHcgd6/aAr0IJyLeGWWfOmbBf+7tcYnPE9ToLeNmRXEozyZe/gl39v/xrZXm9lrNN02ptm5a/HegQPT5fJx94VmNotwyBRgr2yBrZkdR+gBzNzb9Rng8978Xn0ZbxF68ZL3gW222NR05rZVmX1pFLDULGe89Vicd4q7zyD8IS5OzJ+dWL8aM3uWpvdzjxx1JvelJbkWnNFZT8Z4nbBDJxtxibv/NjkQvjCXuvt/Yr70yanHZ0bMrA/wpTzLXJUY3yn+W8HMBtM8+m6r9CGZazzciRqa/xBkk/xSaPNjSaL/pKZPyYzED9DJiXn1JHaKLrAptaUzJA9fZXtfnkhNV6f32bjf3gi83cHDs/l09HPTVsn8hYTDAUDjidLJz9dKwkn/Hebu0xOHfpLDtBxFipNtMLNhNL8g4FV3r3T3dYR/8RmjgSuybKc/EC54SQbE6R/sbPtB8rP/jLvPjj9SBcDR+da5jdq0nu2oL3MLmIxj4/dlxok0/xOf2Q+eStXT+Hm28Et0Yp5lrkqMjzCz7WK53oRzGVuI79sziaRDzWxKMo8F4xNJbXm/8knu81uZ2f6JZQ2j+aH4F1Knu3SFtxLjW6dnergZbvKQ32jg1jyHlLO5PDX9MzNrtqw4/dN85Sw8hSJz6sjMVN57EuMDCecPZxxM8xs4352j3Mes+ZMlvphaRmM5C4+MG5CanwkOp6SSPTHfzOznhFMlMp+JOwiHYrMFeZnTUZJHHD5mzZ+6MTVVpM0XB+VQnJpuPAXKzHrR/DSVFvdCjRdNJm9a/VY6T1qnPBnDw1U3v6Xp6rtPAy+a2QOE7thhhCtyPkn4N5g5N+Q+wj/ozD+FX8RuzXcJH8h8PXNzCPcug9D9+5yZPUk4H2VsB1Yjfb7X/5nZg7EN+QJOCN3vmX8rh5jZBcT7sbl7rqvpMh4k9EBk/vX8OB6XT1/pCuGk4658qsKm1JbO8AFNNyyeZmbVhPMhlrn7DHd/0cweoulL62dmtg/hSrsqwn6ZuUnp4zT/AttgG/C5aavrgJ/QdCjzcjMro+mq2+T5HxdnOby4MfwlbvNlhB6HIYl5yV6JC2i6mvBjwMtmdjfhUNwgwlXSU+P4NjT11KQPjV1mZg8T/gTMdPenCZ/9zHfNIWZ2FeEwzyE0XUm+odq6nq2K+83FNF0lvT3hfJ57CIFC8g/ZMuK5tu4+x8z+S9PVjSfF4OcZwtXU+a7CTPc0/8fM/kX4Ucp3leF5NH1uioDHzSxz1e3IuNx/AGfGPEsI9wPMnDf1vXgu1DrCn63WPoP/S7jSPfMjf6+ZXUu4/ccxND+/7iK63r8Jn2vIvS99l/Bjn/k8Hgq8a2b3Ev64FJG7Zwd3fzruD9+JSWMJ3yPpGyYnD9v+Lu77bXUj4ShX5nNyk5llzk9L3gniTcLVpBl/JFyxmnk82t/M7C+xLV9N5HuccJVzxiWEnvCHCb8/1YSe0SNpfmrGv7z5Vcp/IFyEljGP0KF0RqrHbbU3v+n2eYTtXkTYd/5tZn8lbLvkH6C/JgLGcpp3JmSMoPln6d+EeGBunH4slf8uM7uO8J11KM17Z7MdudiF5n+A/pUlT3OtXa1BG69aI3TPX5XKm3VIlct1H70GwsnoybRxiXIjyH1/sAdS01MT5aZnawshyn4uR33XpKanp9YhfePHzFCRyDMjkT43VX5HQnCbb7s9SuLGubR+76qcy2vl/W53WzZkea3tY61st9a2wYU52v9SIs9wWr+PntP8nmt5l5tqw8xsdXTC52ZuYt6MPMsvpfV7xN1M83u5TU3Nn9qedWrlvU6+n0sJV7Fla9M/gaJU2XPJfx+9bPtPL5pf2ZccvhfzlBGCi/T8WsKFDVnrbsd65rtfYLP1pO3ftwWEiyfybYflwMdT5fYg/NnJ1Zas7zvhPLzXcpRL3+80/Tn8Pm24j14i/19z5HugLfs/4bBeZSvb5sJUmbzbPd/yWtkPklc6VwMDcuQbQ7gQqLV9OzP8T5b94Vc0vydftqE+5ivI0oaZiXzZvqt2IZxHn6vuhcAuWcp9ivz3NXyN1L3gaMM9FQkXHG6TZx3yDS1+owi368q3/Z4EhrThPZ+aKjc1S55cv03J4WkSd9JIlE3GGy+21h73jl11m5UHpxHusXYrTXe6ryBE+X8ndPHvlCr3KKGn6OGYt5IQAX+GEOUnrUyUW0qImh8g7ETrCBH2YYQbH7e3/bWEXquraXo6wuuEL6lTWyl+BeFk7szjUtq77DcI/7J/RPjnvJrwxbiM8G93GnCAh0MhXWpTaksn+CnhAzWX7P+88HD1VRnwZcIX7WLCD/xKwvlLdxAOYXfGIbxsy+/Q56Yd9c8i9HadTzjPpoKwLRYRfqCPcPcveff05lUSPvu/J9weqJaw/r8kXBnX7D1z958TnjRwDWHbVMXhXcK/2p8Be3riKk4P5yQeROitXkn4cmzGw5Wg+xO+b9bT9HSefWney9BR6wk/dhcSehjyrmdbeLha9SRCz+y9hB/ZWpqeFHIB4Uf3P6lyzxOCjzsJh2OrCD8ox8f25FpeNeFP+S2E8+CqCX+Mp9G8ByVb2YsIJ8xfSfiOXBfLzyfsgw+mipwe8y4g/PC2i4cr0Hcl9Ca9GpdXQ+jd/SvwKXc/O2cFncjd5xDeDwh/Oj6fI99Cdz+QpqczvUz47q0nfGbfILzP3wO299SRorg//IRw5fzFhNtrrYrlV8Xpi4GPuvtPvJ3PuY3LeIkQ7P2G0Mu2Lg6vxLRdPMtzfN39McJ30J8Ihxkz32/PEW5dNtFbHlb9CeGPzMuE3546mp5u8gChN3A3b/6c2w3i7lcTel1vJOwrtYSe4NmEe9Hu4214rmwbl3U24Xvpdpq+8zO/s/8i3Nrt45791ILkIe82PQowc5+gbhPPLan2VEPiCcWzabqi5jV3z3X7BxGRTYaZzaDpEOo8d5/Qfa2R7mThAfaZw/MPuftn8+UXycXMxhL+FBcQguWt2xJ8dlqP3gaYCrxlZueZ2QlmdqiZfZ1wQnXysumLu6V1IiIiHXctTfc1PcjMPpYvs0geZ9IUt13Q1h7GTrkYoxNsS+5LxyGcKN6mLkoREZFNhYf7Gp5NuALVgB+SuAJepC3inUUyF7DMpx2dX5tCoPcy4UqpTxCeODGYcLz6fcI5d1fH84xEREQ+dNz9Xtp302+RZmLvXbabTreq28/RExEREZGusSmcoyciIiIiXWBTOHQr0iW+/dxxfuHoOcxc34cD+ra8g8Xj6+ETfeCRqqIW8ysa1jOgoOlhA2/XVbBd0YBm409V17J37+IWed6uq6DWjY8U9+e12kpGFRpDC/qxpL6Cde4MLijk0apRHNW/5ZXzi+orGF3YdEP4r31QyhVbNZ25cPHKbdi777sU0MDH+7T8n5ZpdwMNrGuo4fW6Aib2CveerfU66qinrzV/NGmt11FsRaxpqGJQQXi61fKGSoYXhCcCzq6uo6R3EfPr1zK2cGCz9dyuaADP1NQwsVevFtsM4JmaGmq9gB2Kqxla0JcnqxvYvVc9H9TVskPxAB6pCl9BBTj79a3nqepa+lgdAwvqmFDU/OEADTTwXE1d4/okvVy7jp2L+1HttfS25jeef7uugm2K+rHjbWew3VltPwtkzQmlDLqxKX/tgXtT/LenWHN8KYNuCumLziqjoBZG/m95i/Jv/aGE7b/d9PCYdy4qpe8iY8zvmudd/7nJ9LkvPCTogzt3YfAdAxh4y2wWf7uMUX9oWW/SojPLGH1JU55BT4xgzT5Lm+VZcWoZw64up/5TEyl87BlGzxrMs3fvzJYXZq+76ogp9L17DovOLGPqCU/z2qTsd4yqPLqEwhqnrq8x4NbZVB0xhXVbFDL8qlDvgh+UMfT1euYfVcv2Jz7bovySb5a12G7rjpxCv7vCvZmrD51M7wee5N1bd2fQP/s31guw4itlDPtLeeO6rf1SKQPfXQezmj9FK1PH6hNLGXxD9vf+7YtL2e47s3ik4XYdWpUeST16IiIiIj2UAj0RERGRHkqBnoiIiEgPpUBPREREpIdSoCeNzGymmbmZzU2kfdXMnjOzNWZWaWbzzOwhMzs4S/lDzew+M1toZjVmttTMnjezS8xsx0S+I83sETNbEZfnZjYtS31zE/OTw41dtQ1ERER6El11KzmZ2beBS+Lke4SHwm9NeBjzHOChmM8Iz3I8NeatJzx8ej3hqSe7Ex5mnXkM0CfjMBcY2oamvEp4uHTGWx1YHRERkc2OAj3J57j4eoO7Nz6yx8x2BZL30fgKTUHev4AT3f39mNeAjwNVify/Bs4GdgRebEM7znD3mR1ZARERkc2ZDt1KPpn9Y7KZfdHMxgG4+4vu/lQi3+nxtQb4UibIi3nd3Z9w92cSaYvdPfvNubK708zWm9kbZnahmXXoMTAiIiKbGwV6ks9l8XUn4DZgnpm9F8+5G57It3N8fcPdFwCY2bGp8+qe7mAb1hIe4Lwa2AH4PvA3M9O+KyIi0gr9WEpO7j4D+BRwK7AsJm8NfBt4OFuRxPgywnl8LR//0HZfAIa6+27AWOCGmF4ClG1AvSIiIpsFBXqSl7vPdPfj3H0E8DHgb3HWJDMbG8dfjq87mtnIWO4f7l4CtHz2UduX/bS718fxOuCvidnjOlqviIjI5kKBnuRkZj8xs/0zh0nd/VXgmUSWTG/dn+Nrb+D6TLC3gcve2cy+YhYezGpmhYQevoy5G7oMERGRnk6BnuRzKPAIUGlmL5vZm8A5cd4D7p655ck1wNVx/EDgAzN7xcxeJtxGpRkz+x8zewv4v0TyBWb2lpldEKdHxDpXm9lLhPP0To7zHgXa/nR6ERGRzZRuryL5XAQcDUwknJvXl3B/vAeAn2QyubsDp5nZg4QrcPcmXDixnHDo9p+E8/wyhgHbpZY1Mg6j4vSrwMXA/sB4oJBwK5abgT/EZYqIiEgeCvSkkbtPTU3fCdzZjvL3APe0Id90YHoreRYD323rskVERKQlHboVERER6aEU6ImIiIj0UAr0RERERHoo0znt0lN99Ke/9wEfOOtGGg29oKAWvBDq+kJBPRSug8oJ9RTUFNBnqbFu+xp6fdCL3iuhaD1scXk5b1y1N70XF1PX3+k336ga5dRvUYsVNmBLe1NUZfTbfQVrXx9KUaXRUAwFNVA9uo4dvvYkAGuPK6FyTAFrd6yDemPg24X0X+Qs29XoswxqBkPt4Aa8TwNj/17A4r0LqBtdjdcVsOOpT/HmpSUMfqOAdWOg30Los9JZetB6Rj3Qm/peRkMh1PUzVu5Zy46nPsXC75axbivH6qGo0qgeV0Ofd3tR198pqDWK10Dl+Hp2+MYc3rmwlPrhdRSsKmLEc7D4gBqKFvZmmx+W8+Y1kyhe2IvaofWM2XYZa/45ii0vKufti0spXms0FEHt4HoK1xWw7dmzeP/cMtaPq2WHrzzF/HPKGHt+OQAf/KSM2v5QN6SePosKqRpbh1UX0HdxAVWjGiioMQpqDC9y+i42eq2B4VeW8+4FpfReYVRuXY81GENfLGDFpDp6LS6ioRf4+HX0ebYf9X1h/ch66NsAdUbh2kLqt6ihYFUxxasKaCiGCT8u7/T9a9nXyxg0t5ZeDz2Vdf76z0+hz71zWHpGGSMuK6fq8Cn0vWdO3jqXn1bG8KtCWyuPLqH/7bPb1aaF3ytjzG/zr+uis8oY/fvO3x7p5VcdPgWg1XXeEIu+U8boi5vWZc3xpQy6aRbVh06mvpfR766mZS8/vYzhV2Zf76ojpvDEnd+zLmuoSDdSj56IiIhID6VAT0RERKSHUqAnIiIi0kMp0BMRERHpoRToiYiIiPRQCvSkVWY21MzOM7OXzGxdHF6KaUOz5P+bmXkcsl6SaGZ7mdl9ZrbAzKrNbLGZzTGz36Ty/cTMZptZVaLOCV20qiIiIj2KHoEmeZnZWOBxYJuY9H583TkOx5nZPu6+IObfivB82oxJZraLu7+UqHM88CgwGFgLvAwMJzxTdxTww0T5LwDbAkuAcZ27diIiIj2bevSkNZfRFOSd5O7j3H0ccFJM2ybmyTiJsF+tAN6Jaaek6jyYpiBva3ffy93HAyOBM1N5D415L9rwVREREdm8KNCTnOJh2UPj5L/d/YbMvDj+eJw8zMyGxPFp8fVW4Po4foKZJXuPM/tdf+DrZranmRW7+wp3vyfZBnf/wHVXbxERkQ5RoCf57EDTPvJslvmZtAJgBzPbJ5aBEORlAsORwCGJcncSDsUWAL+O9awyswfN7OOd13wREZHNmwI9ySf5SKBsvWrptMwh2tfdfY67vwNknjk0rbGQ+2JgN+AC4JVYTz/gs8BMM9tjg1suIiIiCvQkrzeAhji+V5b5mbQGYAFwdJze1sxWmdkqYFJMO8TMRmQKuvtid/+hu+9MuBDjrDiriOa9fyIiItJBCvQkJ3dfCTwQJ/c1sxMz8+L4J+Pk/cB+wMA4XUy4gGIw0CuRdkIse5CZnWFmgxPLeTCx6DWdvzYiIiKbHwV60pozgLlx/Hozm2dm82i60OLdmCdz2PZFd7fkAPwzzsvkmQD8CVhpZu+Z2XPAC3HeWpqCS8zsJjN7Czg30aaZZvaWmR3ZaWspIiLSAynQk7zcfT7hEO2vCefTjYzDKzFtIqHXbt9Y5K4s1dwZX3c1s4mEe+j9HngO6APsAlQBfwcOcvd3E2XHAtsBWyTSxse0QRu4eiIiIj2abpgsrYqHVs+JQzYryfOnwd0vBy5PJX+njcue2pZ8IiIi0pJ69ERERER6KAV6IiIiIj2UAj0RERGRHkqBnvRYdf1hycfr6b0aeq2B4k+soM8K2PI/tVQPa2DAQqfvwkIaBtcCsOVDTaesrhsNb1y9N33fK6bfQihaawx7rY6G3s6Qp3vR540+eLFTM7aG4juGUj+slnHnllMzopai3Vdj1QW8+efJzPtlGUsnGmt3r8aqC+i9rJDRF5ez8sgKareopWLXaup3WIf3aaB4eRErPlJA7+XQ/9XeFC8vYv4PyyisNtaWVAGwZvtwW8NR9/dmxUcKWDrRGXrtLPovrKfX4mLevHwKAA1Da+i9wqgd3MAOpzxNXT9o6N10f+u+CwqpOKaE+i1q6TW/mIIaY+VORtGC3tSNqmHRWWX0mt+L+v4N9F5ayKLXwy0Q15xQynbfmUX18HpqR9cy8O1CAN77eVmouKqA9+7YlfXDnXcuLGXu+WUUVUJhDfReUkjvFdDvvSIocvotBPrXMXCe0Wc51I+sAaAmc4nN+HXUDIYtnimgYItqhl9VzlYPh3Wq699AXWUxxZ9cQc1gp3h1IePuNoa8UMSAeUafd3oz9tEGaoc00G8hLP9qGe9NL2tc/5qD92bVtNLG6eVfLaPy6JJmaWtOKGXN8U3TSeuOnNIiLVl2xVealjXisnDP8L73zAFg9YkhX+XRJSz4flO+dUdOYfhV5Y3LrtiygAVnN81P5pt/ThlVh09h0ZnhtfqwyS3yZZbTuD5xXYa9UceCs8uoOiKsQ+Y1nf+tP5bwzm+zr3+m/es/37Qdqo6YwrDX6hrH+94zhyV7hf2j6vCW2ytTR9ry08qoOXjvxun5PwrbYPVJpaw6ObRnxVfKWPulUkZfXN6s7KCbZlFxbAm9H3iSfnfNofrQpu0y/MrmeUU2Fwr0RERERHooBXoiIiIiPZQCPREREZEeSoGeiIiISA+lQE86zMxmmpmb2dw4PSNOZ4Z6M1tmZv9nZnumys5N5U0OU1P1Zx02+gqLiIh8yOjJGNJV5gADgJ2Bg4FJZjbe3atS+dYSHqeWtCa+vkJ4RFrS7jFtUec2V0REpOdRoCddwt1LAMzsF8BPgRHAx4BnUlmfzfWYM3c/IzltZtsDr8fJSzqxuSIiIj2SDt1KV7P4Wg8s2MC6vkfYZ9cAV2xgXSIiIj2eevSkS5jZbJoO3VYCZ7v7wixZ902db7fa3YdkqW8kcHKcvMLdV3dyk0VERHocBXrSVZK3wp8L/CNHvvQ5emtz5Psfwrl5NeiwrYiISJso0JOuUgBMBB4m9OrdbmZ7untDKl/Oc/QyzGwAkDlf7/ocPYMiIiKSonP0pEt48DTw85i0G3BMB6s7DRgKNAC/7YTmiYiIbBYU6ElXuxpYGsd/ZGaWL3OamRUBZ8bJe9z99TzZRUREJEGBnnSpeN+8P8bJXYHD2lnFccC4OH5hZ7VLRERkc6BATzrM3ae6u7n7hDg9LU5bKt+vMunufl9MmxCnp7ayjBsSZed01bqIiIj0RAr0RERERHooBXoiIiIiPZQCPREREZEeyty99VwiH0L7f/I8tyeep/qwyfS+/0kWnF3GoPcaqBwd/t+MuqScJd8qY+Sl5QAs/nYZo/5QzoqvlDHsLyEtOV596GTm71vItt+fxYqvlNFvaR1eaPS9ew5VR0yh791zWHdUCVXDC+i1toFVOxZQuA4GfhBuHTjwltksOLuMLS8M9a06uZS+y+tZtX0Roy4p580ZEyme35uB78HwP5dTe+DeVI4uYsWusO33ZrHuqBJ6ramj6JGnAag4toQBt85m5Sml1PUzCqth2NWh7g9+XMbgdxoYeMts5v+ojP77LKXu/hFscUV5YxsqjilhwG2zqTp8Cn3vaTr9cf3nJlPXr4DCamflDoVseWE5i84so3gdDL8y1L/2uBIG3jKb935exsB5ztrxxrhzy1l5SilDr53FuiOn0O+uOSz5VhkNRTD69+XUfmYS60YXs26k0XeZM2TGLBqm7kXBzGdZfnoZ/ZbU0/eeOY3vV6Z9K08pZc22xvifllN1xBRw6HvPHFacWsb6oVDfFwa966wbaRSth15rncHXz2L5V8vov7COPvc92dW72kaz9kulDLx51gbXs/rEUgbf0L56MvtbRubzkk963+pOy08va9x/s3mk4fZ23RFA5MNCPXoiIiIiPZQCPREREZEeSoGeiIiISA+lQE9ERESkh1KgJyIiItJDKdDbzJjZTDPzONSb2Voze9PMbjKzfRL5JiTyuZnVmNkyM3vazH5lZqMSeUea2eKY79Hk82zN7KeJOg6MadNTdSeHokTZ7c3sBjN738yq4/KfMLMvbqztJSIi8mGmQG/zVQM8BawEtgO+BPzbzM7Jknc+8CJQCEwEfgz818z2AHD3JcCpMe+ngLMAzGxP4Kcx/U/u/rdUvcuAOanBY9kC4B/ACcBI4GXC/vpx4DYzK+v4qouIiGweFOhtvha6e4m7jwN2Bl4ADDjPzKam8l7t7hOBYcA0oA4YBdye6YFz9/uBq2P+881sEnADUAy8Dnw/SxsejG1IDvVx3jhgfByf7u57AYckyo7r4HqLiIhsNhToCe7+KiGAy/hajnzu7tcBl8Wk7YH9E1nOAt4GegOPEwLIOuAEd6/KUuVRZlZlZgvN7MHYA5gxH3g3jk83s2eBB4F64GbgrnasooiIyGZJgZ4A4O7PAWvj5K6tZP93Yrwxr7tXACcSDr/2icm/cvens9RRDywC5gKjgc8CszLBnrvXAvsCzwK9gD2BocAq4Fl3r2njqomIiGy2FOhJUuYiitaei5fcb9J5t0/UA7BDlvI3AyPdfQd3/yhwUEzvDXwDGs/RuwLYC7gcGAB8HhgO/NbMTmiljSIiIps9BXoCQDynbkCcfLmV7PsmxhvzmtnWwKVxcl58Pd7Mjk4Wdvc33H1FYvpvwPI4mTn3bj9CLx/Ate5e6e73AUtiWvKQsYiIiGShQE8ws52BaxNJV+TIZ2Z2Ck3n8L1NuDKWeEuVGcBgQjA2BXgoU5+ZbZmo5wdmNi4xfQChpw7CoVxiPRmTY75tCBeEAFS2eQVFREQ2Uwr0Nl9jzGy2mc0j3DplF8Jh2B+7+2OpvKea2TPACuAawm1WlgBfiOfSQbgQ49Nx/DR3Xwx8mXALlWGxXMbXgblmNtfMXgEyt12pBC6J448Rbv0CcKmZvQj8FyginN9304asvIiIyOZAgd7mqxehp2w44erW24B93f38LHnHArsRAsHngF8Du7n789DYI3hezPuXeIgVd18EnB7TDzSzb8Tx84F/xjZsSzjMexMw0d1fiWWXE+6ZdxPwPuFcv0pCUPhpdy/f8E0gIiLSsxW1nkV6Enef2sZ8c2l+UUW+vC8DfXPMuztdj7tfCVzZhnpfJdwwWURERDpAPXoiIiIiPZQCPREREZEeSoGeiIiISA+lQE96vN73P8m6o0rovzDc23nUJU3XcYy8NIyvPKWUmsGw8LtljfPWfqkUgKXfCGkVY4oY+K6x9BtlDFhQy8KPFwKw6uRSKsaE8X53zmb4leX0X1hDv4Ww5UXlDLxlNgNvmU3FMSUMe62usV6A3g882Ti+zU3GyGcbGP7n0KaKLcMptAPfNT74cRkVWzb/uA64dTarTypl6LWz6L+wngEL65j3qzIWfreMYa81sPIjBSz/ahnDXqtnyCFvMmBBHfN/VNa4bpVjQn2VYwqbtalyTBEDbp1NxZaFVG3ZwLKvhTLDryxn4feats/qk0rptQqqBxn9F8CSb5Ul6ihstn1XTWuqv2gd9F9YF/P1ovYzkxh+ZTl975nDmuNDvg9+XMaA22az6uRSVn0E+i1s8bY26r+gabxmEPRfGC4Ez2zH7rb0jLLWM7XRwJtndbhs/acmNo4PvqFlPatPLG2RljTg1tnNpkf9ofXt2/eeOXnnVx5dQuXRJQAs/2rnbaeM6kMnN44Pv7Kc9Z+f0unLENnUKdATERER6aEU6ImIiHSSeH9QN7MFZtY3pu0R01p7vOTGaN+0TFtSwz3d3TbpGrq9ioiISOcbQ7g5/MWdUZmZFbl7XWfUFS2j+Y3nX+zEumUToh49ERGRzufAD8ysX3qGmY0ws6vN7D0zWxOfUnRQYv6M2Mv2ZzN7xMxqgH0S6deb2UNmVmVmfzez8WZ2p5lVmtms+LjI1sx39zMTw1/isq+Oy7gsTp8Qp583s15mNj1O325mN8dlvmJm+3XSdpNOpkBPWmVmM+MHe26cznzZZBumxzwT0mkxPZM2I7WM6Yl5E2JaHzO7zsxeNrP6ZBtERDZxtwMjgW8kE82sALgP+AqhV+1eYCLwoJl9PFXH6UAxcCOwJpF+AlBBeCzlAYTHQw4B3gFKgF+2oX1jzeySxJAJNM+M9XzNzL5AeCxlNXCiu9ckyh9FeLLSE8BHgfvMbFQblisbmQ7dyoZKX1b3QSfW3Qc4CVhEeO7t8E6sW0SkK91GeIb494HkZc6TCMFYBfAJd680s2WEAOsbwH8Sef+dfJqRWeNDhh5196Pjn+hzgSpCwHcIIYjcsw3t2wL4dmJ6FfCwu1eY2UnAv4C/Ep5s9H13Tx/afd7dD4zteg7YA/gC8Kc2LFs2IgV6skHcvaQLq18LbOXu883sDsI/SBGRD4MG4OeEgO+bifQJ8fV9d6+M46/F1/GpOnLdw+bV+Loqvr7l7g1mtjZO929D+/7r7ntkm+Hu/zGz/wCfBNYBV2TJ9lpqfA9gqzYsVzYyHbqVTZa717v7/O5uh4hIB91OuMjhi4m0ufF168T5ezvF13mp8tU56q1vZbqRmW1nZh8xswGtN7exzFGEIG890A+4IEu2j2QZ78wjOtJJ1KMnGyTL7QL2dPfn21D0ZDM7uQuaJCKySXB3N7OfA3ckkp8mnPIyBXjczF4GjiNcvHFZFzTjn4SewiOAexLpY83sksT0fHe/yMzGAH8GaoB9gVuAM8zsPnf/WyL/7maWmd6D0PN3Zxe0XzaQAj3ZUOlz9Cqz5mppGfB2YnorYGyntEhEZNNxF/A8IRgiHmL9HPAbwnl1OwLPAb9w9yc2YrvS5+j9F7gI+AvhfOifuPuTZvZl4DHgGjPbJZH/dkKP4xcIh26/7e6LNkrLpV0U6MkG2YBz9B5092mZicRJxSIiH1ruPiE17aQujnD3JcCX89QxDZjWWrq7X0K4KjYzPZNw8US+9swAZuRZ9mdT0/8icZpX4oKQ9bE9OjKzidM5eiIiIiI9lHr0ZJNmZm/F0dHxdWwibV9drCEiIpKbevRkU7ddHDK3CyhKpBV3V6NERDqDmQ2JT7pYZWYVZvbv7m5TPu4+3d0teeqNbNrUoyetSt6wM05PI8v5I6k8c0mdKxLTW6TF9OnA9LbmFxHpIa4BPk841+5VoKxbWyM9jgI9ERGRbmBm2xJue3IT8COg3t2v7t5WSU+jQ7ciIiKdoH71j91rX2wc6lf/2JNphGfXJn0svu5NuDVVpZlluzmxSIepR09ERKQTrF93I6y7seWMmNZ/zLwrU3N6x9f+wDGEZ92ebWaPuPs/uq6lsjlRj570aKtOLqX6sMn0u3M2g2+YRcXopl1+zQmlja9Dr53F1r8oZ8zvyhmwqA6AgTfPYthfmh41OfyqckZcVs6IP4W0bX4wi4otCxly3SxGXFbOsq83nVpTMPNZABZ8P6StPa6EyjHZP26jLiln8ZllFD3ydLP0odeG56APWFDPVueVM/LScooeebqxzopjSxh8fcjT7645VIwpYvxPwjr0u3M2Q19rYPify+l79xwqjy6hz31PMuy1eoa9Xk+/hTWMuqSclV8ubVxXgMovhNsiLjqrjBF/Kme7M2ezxRXl9F4THoDSf1F4HXjLbCpHG/0XNTDstVqG/7mcYa/VMPTaWaw+qZT+C5ueyDT69+X0X1BL5ZbFje2tHNP8P2b1YZNZekYZg24K8/svDMtZN9rY5gezGLCgqb6+98xh1bRS+i+qa2zP4Btm0WsNse6ma3TSy+kOIy7L9bjSjavwsWfyzh98w6yN1JIm/W+fTf/bZwMw/M8buJ1Kd2+R1PuBJ5tN97k3fX/3zrXe6/MOWcyNr4+7+13AX+P0dl3aUNmsdP+3oIiISA9Q7Q3tLfIs4Vm4+5nZacAphOfW/qeTmyabMfXoiYiIdIL17nmHtPjUjOMIj4O8FBgGnOTuL23clktPph49ERGRTrDe29934u4vA6Wd3xqRQIGeiIhIJ1jvhd3dBJEWdOhWWmVmQ83sPDN7yczWxeGlmDY0S/6/mZnH4akcde5lZveZ2QIzqzazxWY2x8x+k8p3u5m9bWaVcXjLzP5gZsO6an1FRDqisqFX3kGkO6hHT/Iys7HA48A2Men9+LpzHI4zs33cfUHMvxWwf6KKSWa2S/KcEzMbDzwKDAbWAi8Dw4GJwCjgh4nyRwDzCHeMH0G4Gu1/gJ2AgzpvTUVENsx611MZZdOjHj1pzWU0BXknufs4dx8HnBTTtol5Mk4i7FcrgHdi2impOg+mKcjb2t33cvfxwEjgzFTeAe6+nbtPinmeiOkf37DVEhHpXOu9OO8g0h0U6ElO8bDsoXHy3+5+Q2ZeHH88Th5mZkPi+LT4eitwfRw/wcySvceZ/a4/8HUz29PMit19hbvfk2yDu683swvM7EkzmwvsE2c9gYjIJkSBnmyKFOhJPjvQtI88m2V+Jq0A2MHM9ollIAR5mcBwJHBIotydwJJY7texnlVm9qCZZeup24nwiKDxcfrvwBfbvTYiIl1ofUNx3kGkOyjQk3wsMd7yJlAt0zKHaF939znu/g6Qud39tMZC7ouB3YALgFdiPf2AzwIzzWyPZgtxPxzoRTiH72XgM8Cf2r02IiJdqNqL8w4i3UGBnuTzBpC51fteWeZn0hqABcDRcXpbM1tlZquASTHtEDMbkSno7ovd/YfuvjPhQoyz4qwimvf+ZfLXuvuzQOZZkSea2Y4dWy0Rkc6nHj3ZFCnQk5zcfSXwQJzc18xOzMyL45+Mk/cD+wED43Qx4WKLwYSeuEzaCbHsQWZ2hpkNTiznwcSi18R8n0geyjWz3sABiXz9N3QdRUQ6y7qG3nkHke6gQE9acwZND96+3szmmdk8mi60eDfmyRy2fdHdLTkA/4zzMnkmEA69rjSz98zsOeCFOG8tTcHlROAJM1se8yyk6eKQ54D/duJ6iohsEPXoyaZIgZ7k5e7zCYdof004n25kHF6JaRMJvXb7xiJ3Zanmzvi6q5lNJNxD7/eEYK0PsAtQRbjI4iB3fzfmfwZ4BKgh3LOvT1zuhcCn3dv/BHERka5S3VCUdxDpDtrzpFXx0Oo5cchmJXn+NLj75cDlqeTvtGG5jxMuvBAR2eTpggvZFCnQExER6QTV9fpJlU2P9koREZFOoMOzsinSXikiItIJFOjJpkgXY0iPZU88z5DrZgGw7qgS5p5XxuhLyll8Zhk1g2HQjWFe5jWXEX8qp+agvQFYekZZY/rqE0sZ8adyVp1c2pi27qgSANYeV8LwK8sZsDDcU3rgLbMB6HPfkwy8eRaLvlPGkOtmsfy0MlaeUkr/hQ2sPqmUfneGfKtPKqX2wL0Zct0sKrYsbKx/ybfK2PKicA/qAbeGvCtPKWXdkVMYdnVIX3N8KUu+VUb/hTUAVB0xhRUfDR/1vnfPabZuQ6+ZxRaXl1P/qYmsOSGsR/UgGLCwoUW+zLZac3zIt+WF5c3yVI4J5ycNvr759qw5eG+K//40Q2aE9GGvV9N/YR1AYxt73/8kAxbUs+b4Unrf/yQAi88sI5v5P2xKH3zDLIZdXU7dAZMYflU5w16rb1z++s9Nzlq+M9UcvHeXLyOfRaltlHlv8qk5ZDKrT2yZL1vah8qs7r8If319cd5BpDvo74eIiEgnqGkobD2TyEamQE9ERKQT1NQr0JNNjw7dioiIdIKahsK8Qy5m1sfMXjczN7P/3YhNls2AevREREQ6QW3He/R+BmzViU0RaaQePRERkU5Q21CYd8jGzHYDzgKmb8y2yuZDgZ60ysyGmtl5ZvaSma2Lw0sxbWiW/H+LhyDczJ7KUedeZnafmS0ws2ozW2xmc8zsN4k8Y83scjN7wcxWxOW+ZmbTzWxAV66ziEh71dYX5h3SzKwAuJrw7O+s35UiG0qHbiUvMxsLPA5sE5Pej687x+E4M9vH3RfE/FsB+yeqmGRmu7j7S4k6xxOedzsYWAu8DAwnPDd3FPDDmHUH4GtALfAmMBrYCTgXmAQc2qkrKyKyAQ7bcgpHjpvUOH3Xe08DJNNOB65MFDkFmACcCuwa0wab2Qh3X9rFzZXNhAI9ac1lNAV5J7n7DQBmdiJwfZx3GXB4Jg+hp3gFsArYlvBl9t1EnQfTFORt7e6rY53DgE8m8q0gfDHe6O5VZtYXeAyYAhxiZkPjc3hFRLrdX+c+y1/nPps1HeDFz/38ytSsrYERQPImgCcA1YTgT2SD6dCt5BQPy2Z6zf6dCfIA4vjjcfIwMxsSx6fF11sJgSDACWaW/FOR2e/6A183sz3NrNjdV7j7PYllvODuV7l7VZyuounwRgOhp09EZJNQV1+Qd8jir8DRcZge0x4GLt84LZbNgQI9yWcHmvaRln9Tm9IKgB3MbJ9YBkKQlwkMRwKHJMrdCSyJ5X4d61llZg+a2cdzNcbMxgBfiJM3untF+1ZHRKTr1DcU5B3S3P0Vd7/D3e8A/hWT33b3ZzZqw6VHU6An+Vhi3LPMT6edEl9fd/c57v4OkHlO1rTGQu6Lgd2AC4BXYj39gM8CM81sjxYNMfsY8B/CeXqPA2e0c11ERLpUQ73lHfJx95nubu7+zY3UXNlMKNCTfN4gHCIF2CvL/ExaA7CAcPgBYFszW2VmqwgXTUA4p25EpqC7L3b3H7r7zoQLMc6Ks4po3vuHmR1ICBi3Ae4GDnT3yg1ZMRGRztZQX5B3EOkO2vMkp3ihwwNxct94AQbQeDFG5sKJ+4H9gIFxuphwscVgoFci7YRY9iAzO8PMBieW82Bi0WsSyzkjzhsM/Bb4QuacPRGRTYnXW95BpDso0JPWnAHMjePXm9k8M5tH04UW78Y8mcO2L8bDD40D8M84L5NnAuG+USvN7D0zew54Ic5bSwwuzawk5isEqoBPAOVmNjsOYzp/dUVEOsbrC/IOIt1Be57k5e7zCYdof004n25kHF6JaRMJvXb7xiJ3Zanmzvi6q5lNJNxD7/fAc0AfYBdCIPd34CB3fzfm75Oooy/htirJofeGr6GISOdQj55sinQfPWlVPLR6ThyyWUmePw3ufjktbxfwnTYsdybNLwgREdlkmYI52QQp0BMREekMCvRkE6RAT0REpDMo0JNNkAI9ERGRTmANrecR2djMPdt9cEU+/A4oONpXnVzKkOtmNaY17LsXBf8KD/RYc0Ipg25smld5dAn1vYy6Psawv5S3qK/60Mk0FBl975lDzcF70+uhp1rkSVp+ehnDryxn7XElDLxlNhXHlDDgttntXo+qI6bgBaGnoN+dTeUrji1hwK3try9p5ZdL6bOigb73zMmZZ9nXyhg0rxYvMnrf/2Rj+uqTShl8/SxWfrmUodfMalZm3ZFT6HdX7jrzqT5sMutGFLaoM23FqWUMu7rpfVp+WhnDryqn7oBJFD3yNOs/NxmAPvc9masK6SJVR0yh790de/+7yyMNt29wd9y2l1yc9wf1nTO/oy4/2ejUoyciItIJrK67WyDSkgI9ERGRTqCrbmVTpEBPRESkExTUd3cLRFpSoCciItIJTIGebIL0ZIzNjJnNNDOPQ72ZrTWzN83sJjPbJ5FvQiLf9FQdMzLz4vRIM1sc0x41M0vk/WmingNj2vREWnooSpTd3sxuMLP3zazazJaZ2RNm9sUu31AiIu1kDfkHke6gQG/zVQM8RXiqxXbAl4B/m1mup1/k5O5LgFPj5KeAswDMbE/gpzH9T+7+t1TRZcCc1JAJHguAfwAnEB659jJhf/04cJuZlbW3nSIiXcnq8w8i3UGB3uZrobuXuPs4YGfgBcLjxs4zs6ntrczd7weujpPnm9kk4AagGHgd+H6WYg/GNiSHzNfhOGB8HJ/u7nsBhyTKjmtvG0VEupICPdkUKdAT3P1VYFoi6WsdrOos4G2gN/A4IYCsA05w96os+Y8ysyozW2hmD8YewIz5wLtxfLqZPQs8CNQDNwN3dbCNIiJdwuryDyLdQYGeAODuzwFr4+SuqdnnJs+jA07OUUcFcCLh8GufmPwrd386S/Z6YBEwFxgNfBaYlQn23L0W2Bd4FugF7AkMBVYBz7p7TQdWU0SkyxTU5x9EuoMCPUnKXESRvrv7fJqfR7csTx3bJ+oB2CFLnpuBke6+g7t/FDgopvcGvgGN5+hdAewFXA4MAD4PDAd+a2YntHGdREQ2ivZejGFmO5jZY2a2PF4Y94iZbbfxWy49mQI9ASCeUzcgTr6cmn118jw6wiHUbHVsDVwaJ+fF1+PN7OhkPnd/w91XJKb/BiyPk5lz7/Yj9PIBXOvule5+H7Akpu3f9rUTEel6HThHbyzhd/hc4FrC99rVWXOKdJACPcHMdiZ8yWRc0YE6DJgBDCYEY1OAhzL1mdmWibw/MLNxiekDCD11EA7lEuvJmBzzbQMMi2mV7W2jiEhX6kCgV+7u+7r7/7r7/wArCOc2i3QaBXqbrzFmNtvM5gEvArsQDtn+2N0f60B9ZwGfjuOnufti4MuEw7zDgGsSeb8OzDWzuWb2CpC57UolcEkcf4xw6xeAS83sReC/hJt81wM3daCNIiJdpr3n6CXPNY5HVYYB/954LZbNgZ6MsfnqRegpW0e4uvUpwr3uHm9vRbFH8Lw4+Zd4iBV3X2RmpxOukD3QzL7h7n8CzgeOJvxzHU04zPsf4Jfu/nosu9zMPg78GPgE4Vy/lUA5cL67l3dstUVEusaRZbty5CearmW76/EXQ3pT2unAlelyZrYTcC/hiMa3uriZsplRoLeZcfepbcw3l+YXVSTnTSNxOxZ3fxnomyPv3el63P1KsnzZZSn7KuGGySIim7x7Zr7APTNfyJoO8PRfvpMtyPsY8ChQDXza3Rd2cTNlM6NDtyIiIp2goC7/kBYvYJsJbEG4u8AUMzt2ozZaejz16ImIiHSCDtwrbztgRBz/dSL91s5ojwgo0BMREekUVp++BWl+7j6THKfIiHQWc2/fjinyYbH7t3/vdf2gemi4WenQV53Fn6jHGqDPwiK2/nk5644qoa6vsbikAQph1BMFrNnGaCiG6i3qGf5sIcsn11E4qIb6mkKoKqSwopD6vg0MerOQglqoGgl1/R0fsx6W9GG7s2bxxlV70/eDYhqKYNgr4U6py/YwBr1jDP9zuI7kjav2ZsfTnuLdC0op2q6C4qJ61iztjxU5/V/rRWE11PWBYa/X4wXGBwfXM+S/xazd1tnurFm8N72MoirwQqicUEfh2kJGPAeTz3yGBx+fiNXD4DeNiq2hoAYK18P6kU59vwZ6Ly2kdrsqhj3ah5UfhbqhdfReWMwW/21g+a4F9FoFhTVQuSX0Wh3Kr92+nh2+OYd5vyxj2CsNLN+lgIbeDg3gvRwbWU3vl/oy9vxy3rhyMiNmF1Lb3xjyVi2rdihmzaT1TLihgHePKKRgfQFWD/XDayla3AsfX0V9VREDXi2m4mM1bPFEMTWDjPreULVrFQ0VxQAMebGIEX8q593flFHfr4Ht/2c2K04tY9VOTv3A+vCTWWcMe76Q/ovreO9Q2OphY+Enje3OnE3NwXuzblQR64cao39fzpoTShl046zGfWbVtFKsAVZvZ1QPa6DXygIGfAAVW4E5jDu3nDXHlzLoplDmzcumsMMZc3jv52WMOze8r2tOKGXNBGOLF+vpc+8clp5RRl0/GPJWPb1W17F4Um+GvlVPQ5Gx4NPODl+fw/LTylg/Asae31RHYbXT//bZACz4fhlF62HkpeWsO3IK/e6aw7Kvl7FmW2fb78+i+rDJVA0rZMh1oV1vXDmZAW8V0dAL+i2CmoFQtB56rXWW7QF9lhjFFVBc6VSOMer7QvXoOoY9U8T64TDwfaegzqnYsoDitTD8qnIWnVlGfR8Y+5vQxsXfLmPUH8qpOLaEAbfOZuk3ylj1kQZGl8OKnQsY+XQ9K3cqpNdqwGCLy0O5ty8pYbszZzP/nDKGvNlA/9tn885FpQx+y6gvhsLq8Hldsx1MOCeUWX5aGcOvarr+asVXyqiJN2BqKIKBHzgLP1XH6JlFFNQ7K3cqYPiL9SzfpZCtf1HOgrPL2PLCctZ/fgp97p3Diq+U0WdVA4v3LqCgFkY+W88Td35vgwOujx/9u7w/qP+5/bsK6mSjU4+eiIhIJ2hvj57IxqBAT0REpBMUKNCTTZACPRERkU5gdQr0ZNOjQE9ERKQTFCjQk02QAj0REZFOoB492RTphsndyMxmmpmb2dxU+tSY7mY2LaZtb2Y3mdl7ZlZtZkvN7FkzuzZV1lNDtZm9Y2ZXmtn4RL7+ZvZTM3vVzNaZ2RIzu87MtkzVV2xm58Y6aszsAzO7xMwG5lin1xLLvj3Puvcxs5WJvBdlyTPGzG4xszcT+Wa2YdOKiGx0Vt+QdxDpDgr0PgTMbBDwT+BLhJtrvgKsAXYh8SiylGXAHMJzbLcBTgP+kwjQ7gN+AewEvAUUAicBT8TlZVwDTAfGA+8AI4FvA/ebWbP9x8xKY30ZnzOz4TnadwQwJDF9opmle5hHAccSnstbkaMeEZFNQkGd5x1EuoMCvQ+HMmBcHN/Z3fd09+2AYYRAKJsH3b3E3T8C/DamjQX2i89W/HRM+5677wZsD6wjBIVnAJjZXjQ9a/bbsa6j4vS+wOGpZZ4SX18H1hICtC/laF8m7zOAE4K6g1N5XgdGuPv4OC4isslSj55sihTofTgk36evm9kUM+vr7hXuflsbyqdv0pmsL/Ptk/y7+Zn4mgy87oyvDwLr4/iBjQsw6wscEyf/ksifCehI5N0a2C9OXgD8K1ted69y92Xp8iIimyKra8g7iHQHBXqbhvHJ8+qAx1LzHwNei+PfA2YDq8zsMTM7LEedh5jZbDN7DfhuTFtAOAT8KvDfmPY7M/sv4fBtv5g2Nr5unahvCYC7NxAOC0NTLyOEnr5BhMDxJuCGmL6nme2WatvJhH1vFeEQcibvoWa2RY71ERHZtNU15B9EuoECvU1DDeF8uszwanKmu1cBk4GfEg511hMOi04F7jOzQ7PUuQUwBdgWmAtcBZS5+1p3rwc+C8wAFhEerP1SrBugNr7melxPtvRMb9wj7r4AmAm8n5qXcXJ8vc3dq4E7gCqgGDg+xzJFRDZpVleXdxDpDgr0Ng0L4/l0Je5eQjxHLikGaL9y90mEixiOBzLfHJ/PUud17m7u3svdt3H30919XqK+Be5+iruPdfcBwKeAzIUamd7D9xL1jQSIF2BkLrB4P6aNj+UBpprZKmAFMCamnWBmxTHvJwjnAwKcFPO+B/SOaS0O9YqIfBjo0K1sihTofQiY2SQz+4GZjQJw9wrgYZrOlVvTgTr3MrPBiaQfATvG8Vvj68OJ+ZmLMA4B+qTmn0xTL19vYHAcMlfRbgFkeh2TgVzfRN7Mvri7me3Z3vUREel2dfX5B5FuoEDvw2EL4DfAIjNbaGbPAvOAAYRevZz3q8vjJGCxmb1kZguB82L67e5+B4C7PwPcEtP/YGav0nSRxRPAPWZmNB2KvT/2IjYOhHP/AE4xs/7A0XH60lS+vjTdQuUUADMba2ZvmdlbhFvJAExJpImIbDrq6vIPIt1Agd6Hw3+BXwOz4vSuhKtkHweOcPfZHajzKeBNYALhUPALwFnAcal8JxPut/ce4Vy+ZcClwCHxwox9CecBAtyVZTmZtIOBbxKC0xZ53X098H9x8ktm1otwzt52ccgc2u2TSBMR2XSoR082QXoEWjdy96k50mfS8oKHc9pYZ64LKNL5biJcHdtavlrg3Dhkmz+T3Bdt4O4/AH6QSLogT95jaLpFC4SLSNq0PiIi3U69drIJUqAnIiLSGdRrJ5sgBXoiIiKdwGtqursJIi0o0BMREekErkO3sgkydz1oWXqmAwqObty51x1VQr87Z9Ow716s3rY3Q6+d1SJ/5dEl9L+9+XUtNYdMpteDTwJQfehkej/wZLP5VUdMoe/dc6g6Ygrzpxrbf3s2y08vY/iV5VnbtP5zk+lzX6hj1cmlDLmueTsy7QSYf04ZY88vb0wHGudlLPhBGVteUM66I6ewflghw65uWu6yr5WxxRXZ29FsHQ6fQt975rDwe2WM+W15YxurjphCzYACBt8wi5qD96bXQ0+x5oRSBt04i7XHldBQbAy+fhYrv1zK0Gtabs9keu1nJlG5ZTED5tdS9MjTAKz4ShlD3l7PmvG9GXLdrMZ2ZFQcU0JdH2s2b+k3yhgwv57qIQUMmRHqrj50MoXVDRQ98nTj+5He1p2l4tgSGgqNQTfNYtnXy9ji8ta3b3ssP62M4Ve1v87qwybT+/6mdc23D7ZVxbElDLh1Nu+fW8bWP29Z1/s/LWPrX4b0bJ+N9lr+1TKG/3nD2rzm+FIG3dR8X1zyzTJG/m/LepOfNYBHGm7f4POBP9PrS3l/UP9ec7POOZaNTj16IiIincDralvPJLKRKdATERHpBJ3RKyjS2XQfPREREZEeSoGeiIiISA+lQE8amdlMM/PEUGdmi8zsdjPbJpEvM39GIm1uqmytmc0zs1vMbJdEvhmZPIm03mZ2b6LcMTH912b2n9iG9XEZ15jZhI2zRURERD7cFOhJNjXAHOAdYBTwBeD+NpZdG8u+BmwNHAvMMrPx2TKbWV/gPuBzcblHu/ttcfYPgVKgElgEjCc8B7fczAa1f7VEREQ2Lwr0JJuF7l7i7jsCN8S0nc1seBvKPhvL7gp8K6YNAI5IZzSzAcBDwGeA9cDh7n5PIsuvgTHuvp27TwD+GNPHAPu1c51EREQ2Owr0pDWZq8hWA2s6WDaXvwP7EnrsDnH3h5Iz3f0cd1+cSPp3Yry6nW0RERHZ7Oj2KpLNGDObDQwFdgRWAKe6e1tuErVXLNsPyJybVwHcnSVvaXw9zN0fy1epmRUDX4+TbwH/aENbRERENmvq0ZNsegFTCEEewCvAf9pYdmAs+zHgA+A2oNTd5+Upc5aZ9c4108wGAw8SDtcuIASGeqikiIhIKxToSTbzgELgIMIh0n2Av7Sx7L/c3dy9yN3Hufux7v5Sjry/i6+HAffGCzOaMbNtgVnAAYQLPD7u7q+1Y11EREQ2Wwr0JCt3b3D3vwF/ikmHmllpvjIdWMb3gPPi5IHAA2bWLzPfzD5OuIL3o8A/CT2DczuzDSIiIj2ZAj1pze8Itz0BOKezK3f3nwA/i5OfBh42s4Fx+p/AFnF8SJw3Ow6HdHZbREREehoFepKXuy+g6RYrh5rZ7l2wjF8CZ8fJTwB/j+flJc/bm0g49y8zjOjsdoiIiPQ0uupWGrn71BzppwKnJpJa3DYl3ueuLcuYBkzLkn4RcFEqWQ8IFxER2QDq0RMRERHpoRToiYiIiPRQCvREREREeihz9+5ug0iXOKDg6BY7d8O+e1Hwr2epOKaEAbfNZt1RJfS7czYAi79dxqg/lFNzyGR6Pfhks3I1B+1Nr4efapZmU3bD57wAQNURU+h795zGeWuPK2HgLbNbTK//3GRqBxQy8OZZAFQfOhmr82Z1r//cZPrc9yS1B+5N8d+aLzNt9UmlDL5+VtZ5DVP3YuVOfRj+5/Jm6es/P4U+985pllb/qYkUPvYMlV8oof8ds0mrOXhvvMioHlzIoBtnNa5P5nX5V8taLCef9LotP72Mfkvq6XvPnDylNsx708sYN72cVdNKGTIj+zZLqt9vIoX/fCZvnpqD96bXQ/nfI4A1J5Qy6MbWl7n8tDKGX5V9Oyb3VYCqw6d06fbK54OflLHVr9r2fr/38zLGnRvyZtv3Ko8uof/tYb2WfLOMkf9b3ubt2pkeabhd5wRLj6QePREREZEeSoGeiIiISA+lQE9ERESkh1KgJyIiItJDKdATERER6aEU6G1mzGymmbmZzc0xf26cP7OtZVLlMkOtmb1vZteY2RaJfBNS+dzM1pvZG2Z2sZn1SeQdY2a3mNmbibwzszZAREREWlCgJ51tLTAHWABsBZwCzMiRd37MuwTYATiL5o9BGwUcC/QCKrqmuSIiIj2XAj3pbM+6e4m7jwcej2n75sh7tbuXANsAb8a0qYn5rwMjYl2vd0VjRUREerKi7m6AbBbea2X+lsCgOP5GJtHdq4CqrmqUiIhIT6cePelse5nZ7Hg+3yeAD4DTc+Q918ycEAiOiq/f2iitFBER2Qwo0JPONhCYAoyP008Dz+XImzlHL3NYdhxwRZe2TkREZDOiQE8627+AYuDkOH04cEGOvFfH8/k+AlwY0w4zs526tokiIiKbBwV6my8zsz6pobVzNttUxt3r3P164K6Y9FUzG9da3Ynx4nash4iIiOSgQG/zNY5woUNy+Eknl/l1fC0Gvp9l/qnxfL5XE/PfAF4FMLOxZvaWmb0F7BLnT0mkiYiISB4K9KTLuPvTwD/j5KlmNiqVZSzhfL4dgEXArcCB7l4f5xcD28Whd0zrk0gTERGRPHR7lc2Mu09tJcv0DpTB3SfkSN8/S7JlSctWdm5b84qIiEhL6tETERER6aEU6ImIiIj0UAr0RERERHooBXrSY/k+e7Dq5NJmaQX/ehaAAbfNZs0JpfS7czYA888pY9QfyllzfCm9HnyyMX/NIZMBqBzT/HTWmoP35v0DBgBQ+5lJ9L17DgDrjiph+ell9F9Y0yz/wFvicj7d+keuz31h+RVbhmVWHTElZ97B189i5SmlzdqaseIjfRrH3/9ZWWNdfe6d0yxf1eFN9fe/YzbLv1pGxbElzfJUjimi9/1PMujGWY3rU3fAJAbeMpuag/Zm+J/Lm+Vfd+QUPvhxWOaKr5Q1ptcdMAmA4r89BUDD1L1YdXIpNYOaFWfll0upOKak8f1bekYZy08rI5vqQyez+sTSxvUDGvOu/9xk1h0Z0sZND20cMmNW1noqjw7rvPqkUpZ9rYzCfz7Dwu+Wsfz07MsF6PVQWI/3ft48T3KdAQbdOIulZ5RR/6mJje3MLG/95yY3tnf4VeUs+k5Zs/ZkVGwZ952yPQDoe0/z9xFgzfGlLdJWnNrUljUntJyfseDs3Ou5+qRQrvYzkxrTFn+7jPWfz71vZow7N2z3imNKqBhTCITPT0b/22c3jo/835A3s12bte8HTe1787Km5Ta2oXT3FmWqD53Mkm+Gcun3cd1RYfvm2yYiPYECPREREZEeSoGeiIiISA+lQE9ERESkh1KgJyIiItJDKdCTDjOzmWbmZjY3Ts+I05mh3syWmdn/mdmeqbJzU3mTw9SYp4+ZXWdmL8e6GpclIiIirdOTMaSrzAEGADsDBwOTzGy8u1el8q0FXkmlrYmvfYCTCI9HWwkM77rmioiI9Dzq0ZMu4e4l7r4L8MuYNAL4WJasz8a8yeHZOG8tsJW7jwFmdn2rRUREehb16ElXyzyrth5Y0J6C7l4PzO/0FomIiGwmFOhJlzCz2TQduq0Eznb3hVmy7mtmnphe7e5DNkITRUREejwFetJVkrfMnwv8I0e+9Dl6a7uqQSIiIpsbBXrSVQqAicDDhF69281sT3dvSOV71t2nbuzGiYiIbA50MYZ0CQ+eBn4ek3YDjunGJomIiGx2FOhJV7saWBrHf2Rmli9zmpm9ZWZvAQfFpLGZNDMb25kNFRER6WkU6EmXivfN+2Oc3BU4rJ1VbBeH/nG6KJFW3BltFBER6al0jp50WPrcOnefBkzLku9XwK9SaRPauIx29QCKiIhIE/XoiYiIiPRQCvREREREeigFeiIiIiI9lLl767lEPoQOKDg6585dcUwJA26bvTGb0+kqji1hwK3dtw51B0yi6JGnN/pyqw6fQt975mz05UrP9kjD7TofWHok9eiJiIiI9FAK9ERERER6KAV6IiIiIj2UAj0RERGRHkqBnrSJmc01M29lmJEYn56jnqlZylWa2fNm9s12LHPuxlhvERGRDzM9GUPa6jlgURzfCsg8Z/Z5oDqOPwGc3I463wFWADsBuwOXmtkid78jyzIzJgMGLGxP40VERDZHCvSkTdz9iMx47K07N04e4e5zY/qEdlb7S3efYWbbAm/HtH2BO9LLjPV/Cng0Tl7SzmWJiIhsdnToVjY17+WZ94P4+g4xGBQREZHcFOhJd/qpmT1FOPwL8ABwebaMZrYbcGCc/K2713d980RERD7cdOhWutO2cQCoBO5z94ocec+Or0uAGV3cLhERkR5BPXrSnU4BhgH3Av2BK8xscjqTmY0DjomTf3T3qo3XRBERkQ8vBXrSVYrMrE9qaPEsSXdfCXwVqCLsj7/MUtd3Cb3PFcBlXdloERGRnkSBnnSVHxOCt+QwPltGd18MXBMnP2NmkzLzzGwY8JU4eWUMDEVERKQNFOjJpuK3QF0cPyeR/g3CYd1a4Pcbu1EiIiIfZroYQ9rN3acD07OkzyXczDifrHli2eIs6b8k++FcERERaYV69ERERER6KAV6IiIiIj2UAj0RERGRHkqBnmxWGvbdC4ABt80GYMm3yja4zlUnl1J1xJTmy5m6F8tPz1/3qpNLm02vPqn5dO2BewO0qDtjwK2zs6avOb60RVrl0SU521F1eKh/zQlN5SqObZm/+rAWtzjskPr9Jm5Q+b73zOmUdkDzdc4ns41as/KUlvUtPWPD97F8y2lr27pTZ7Qx/fkQkbZRoCciIiLSQynQExEREemhFOiJiIiI9FAK9ERERER6KAV6IiIiIj2UAj1pEzOba2beyjAjMT49Rz1Ts5SrNLPnzeybeZb/jUT+ZV22oiIiIj2IHoEmbfUcsCiObwWMjePPA9Vx/Ang5HbU+Q6wAtgJ2B241MwWufsdyUxm9jHgoo41W0REZPOlHj1pE3c/wt1L3L0EuDoxK5n+j3ZW+0t33xvYI5G2bzKDmfUCbgKqgH+2v+UiIiKbLwV6sql5LzX9a0IgeBrwwUZvjYiIyIeYAj3pTj81s6cIh38BHgAuz8w0s/2Bs4Cr3f2ujd88ERGRDzedoyfdads4AFQC97l7BYCZ9QeuA94EzuyW1omIiHzIqUdPutMpwDDgXqA/cIWZZR6oOgLYEtgGWGxmFcDxcd5wM6sws0M3doNFREQ+TBToSVcpMrM+qcHSmdx9JfBVwsUWBcAvU1mKCUFgf5r3QKenRUREJEWBnnSVHxOCt+QwPltGd18MXBMnP2Nmk9x9rrtbciAcygVYHtPu6dpVEBER+XBToCebit8CdXH8nO5siIiISE+hQ1/Sbu4+HZieJX0u0OLwbErWPLFscSvLnQZMa0MTRUREBPXoiYiIiPRYCvREREREeigFeiIiIiI9lLl7d7dBRERERLqAevREREREeigFeiIiIiI9lAI9ERERkR5KgZ6IiIhID6VAT0RERKSHUqAnIiIi0kP9P6scvPNlGM/MAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 432x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Heatmap of gene expression\n",
    "i = 7\n",
    "genes = res.res2d.Lead_genes.iloc[i].split(\";\")\n",
    "ax = gp.heatmap(df = res.heatmat.loc[genes], \n",
    "           z_score=None, \n",
    "           title=res.res2d.Term.iloc[i], \n",
    "           figsize=(6,5), \n",
    "           cmap=plt.cm.viridis, \n",
    "           xticklabels=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x396 with 7 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "term = res.res2d.Term\n",
    "# gp.gseaplot(res.ranking, term=term[i], **res.results[term[i]])\n",
    "axs = res.plot(terms=term[:5])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### DEG Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# find degs \n",
    "sc.tl.rank_genes_groups(bdata, \n",
    "                        groupby='stim', \n",
    "                        use_raw=False, \n",
    "                        layer='lognorm',\n",
    "                        method='wilcoxon', \n",
    "                        groups=[\"STIM\"], \n",
    "                        reference='CTRL')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "8.065909516515664"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bdata.X.max() # already log1p"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sc.pl.rank_genes_groups(bdata, n_genes=25, sharey=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "# get deg result\n",
    "result = bdata.uns['rank_genes_groups']\n",
    "groups = result['names'].dtype.names\n",
    "degs = pd.DataFrame(\n",
    "    {group + '_' + key: result[key][group]\n",
    "    for group in groups for key in ['names','scores', 'pvals','pvals_adj','logfoldchanges']})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>STIM_names</th>\n",
       "      <th>STIM_scores</th>\n",
       "      <th>STIM_pvals</th>\n",
       "      <th>STIM_pvals_adj</th>\n",
       "      <th>STIM_logfoldchanges</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ISG15</td>\n",
       "      <td>57.165920</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.660480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ISG20</td>\n",
       "      <td>57.010372</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.850681</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>IFITM3</td>\n",
       "      <td>56.890392</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.320490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>APOBEC3A</td>\n",
       "      <td>56.770397</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.616682</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>IFIT3</td>\n",
       "      <td>56.569122</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.313443</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  STIM_names  STIM_scores  STIM_pvals  STIM_pvals_adj  STIM_logfoldchanges\n",
       "0      ISG15    57.165920         0.0             0.0             8.660480\n",
       "1      ISG20    57.010372         0.0             0.0             6.850681\n",
       "2     IFITM3    56.890392         0.0             0.0             6.320490\n",
       "3   APOBEC3A    56.770397         0.0             0.0             6.616682\n",
       "4      IFIT3    56.569122         0.0             0.0             8.313443"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "degs.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(14053, 5)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "degs.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Over-representation analysis (Enrichr API)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# subset up or down regulated genes\n",
    "degs_sig = degs[degs.STIM_pvals_adj < 0.05]\n",
    "degs_up = degs_sig[degs_sig.STIM_logfoldchanges > 0]\n",
    "degs_dw = degs_sig[degs_sig.STIM_logfoldchanges < 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(687, 5)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "degs_up.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1030, 5)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "degs_dw.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Enricr API\n",
    "enr_up = gp.enrichr(degs_up.STIM_names, \n",
    "                    gene_sets='GO_Biological_Process_2021', \n",
    "                    outdir=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "# trim (go:...)\n",
    "enr_up.res2d.Term = enr_up.res2d.Term.str.split(\" \\(GO\").str[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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2AZ/f9BvmrYuu4lSgVKeH4MbQJOBZfLHBJpnsz/F5h+CLID7Eb4gNvZjNzD6ibAivjs9vew9ffV3EU5Td6CcAM5JLfqCZ/ROfXwqwDu4SnJL0vxP4OuXFVfdSHq1ZD18g8g4+wtkoK+J19W98lGsa5QU5sykbMvNgZi9RftBZGRiBGzD5Q0iz0x5K/CWL+3O8Dv6KT92YLyTX80+yoOvwvnwWc4/yN1PGZYDn8bouGWWjgV+l/dsy2T/gffD3VC936ToxEPgg9aOhTegzBzN7Ge+74PeVd8zsVTN7G/eKKB0by9wPXCWd++JTcj7EF71U43Z8kVaJl81seDXhIAg6jzAYewBmdhs+7+dG3O07EzechlMxrzEZGFdmQZcXpDcCdwu9SoUrOLmu98KNjafwm8o0/Eb0c2BHM5tEFczsYXxi/UzcdXS3pGrGTVOY2fP4asyLcUN2Oj5B/jm8zEd1Rj4N6PEevqL4V7ghNQ0fqXoZXyTz9Uz2OeDzwL+Svm/ik/gvaiLLg3FDfhxe3mspr/6s1G0U8A28TqYVHP9OSm94SmsGPtL1ID5P8q4kZ/hK9KuS3ETcZbtvE3q/hrfVM0n3Wen3AWD3NMexFkfho0nv40bdPZQNIZh7NLVhUh89iHLbPYe7Lx9uT3rtxcz+CByGGzjT8Xrai7mnDjSzUvvbeL8ag8/buxc/X99N+V0HHI8/7EzFjfDdKU9jqeS7+IPEuCZ0qEU+ap3X9T+y/daK+c/HA5fgdTIJHyX/XLUMKrwsEKOLQTDfUPNrF4LuJrkWv46PDK5tzb1mJgh6BJI2Amab2Yvpfz98JLn0YHC2mf24u/TrKMnF/kngUTObneYvHoob6QL+ZWbb1kljKFVekbWoIuks/BU7U/HrX9Gc63kYNGiQjRgxokt1CxY8JD1hZoPqSwbxHsYFCEn34y7D0srqX4SxGCzA7ApcIOkj3BU5AJ8fCz46+Ksq8RYUPoaPrk2TNBpfubx0OjaR8uKQoAEkXYO/m7Y0d/GiRo3FIAg6TrikFyw+jt9U3wFOM7ML6sgHQU/mSdwNPRlYFXefP42/A3Br69iLtXsCo/GpBu/i8zR74+7py4DNzOzf3ajbgshauLE4hvKLvIMgmE+ESzoIgiBY6AmXdFBEuKQbJ0YYgyAIgiAIgpqEwRgEQRAEQRDUJAzGIAiCIAiCoCZhMAZBEARBEAQ1CYMxCIIgCIIgqEkYjEEQBEEQBEFNwmAMgiAIgiAIahIGYxAEQRAEQVCT+DRgEARBEAQ9i2da4Y6L4fl/wqTxsGRfWHUd2O1w2OUg6NOvuzVc5AiDMQiCIAiCnsG/74TLfwQjn5s7fPIEGPcePP8YXHki7PEd+MbpsNhi3aPnIki4pIMgCIIg6H7uvByG7DWvsVjJxA/hxl/A0L1hxvT5oloQBuMig6QWSZa2oVl4aym8A2m3pTTaOkPXoGcgaXNJQ9O2eRflUUp/cFek31Vk51Ld8yaVryTf0s78BmZ11a40msirl6RfSHpd0vSk99NdmWcQ8Ohf4IKjYPasxuP8+29wzuCu0iioIFzSQRBUY3NgSNpvA57ugjxK6Q8HhnVB+gsLAynXFUBrF+Z1JHByF6YfBHMzayZceAzMnt183NYbYPdvwea7dL5ewVzECGPQY5HUZ37GC4KuwMyGmpnS1trd+lQjO2+2yoJ3Tnpv3gX5BIHz6F9g7Nvtj3/7RZ2mSqNIWl3S45I+kvTbLPwHki6tE3cLSXdI+lDSFEkvSvp512vdMcJg7MFI2lLSDZJGJdfQGEkPSto6k+kj6RRJ/5U0WdKk1IkP70C+gzMX2uB64VXS2FzSrZJekTRB0gxJ76awQRWyw7J0d5B0s6TxwPN18ijFaZW0j6SnJU0HfpyO95J0TKqPienE/K+kH0pavCKtIySNkPSBpGmpzu+TdGgVPT8r6U/phP9I0k2SVqtIcylJp0n6X8p7sqSn0gVl8UxuYJbuMEnfkPRsivN8rkOSX0fSNZJGSpqadHg2xV0lk2t335DUClydBV1do088kupgmqRXJZ0rqX+d9AdrbnfuThXteVz2/4CKuLek8JmS1iiov8NSvU2TX4gHU4GkbSXdJum91DffTnEH1qubZlEVl3RFeb+U2mZKqsMTJSnJDQMezJIcksUdmqX3RUn3pD48XT5V5ILKtlA2hUR+vj0qaQpwSWqTb2XiD5bqNYt/oKSHJI1PdfySpDMl9avIp975ubik4yU9mfrmVEnPSTpd0lI10qpaV8ECSkcNvn/+X8cMzvZxDLAS8FvgeEnrpXPte8Ap1SJJ2hh4GNgN96ocC9wJfLmrFe4wZhZbD9yAfYEZgBVsg5NMP+CxKjIGXJil15KFD83CW0vhWdjgyrzqhLelsLYs7Gs19JoEbJTJDsuOjcn22+rUUUnuA2BWXj78YegvNXS4HVBKZ/8acjdX0fP9AtnngX5JdingiRrp3gn0SrIDs/BxVeS3z/T4X410P9Vs36hSt6014pb636U1ZNqAVWukP7hG3FZgWWBC+v9gFm8ZYEoK/1tB/RW1iwGHZ2l8FZhZRW4ssEED5+ecOA3IDs3kWwrSGA/MLtDl4IJ+V7kNTTIn1JB5DVil4HydlNWl1clnWIp7QQ2Zx4G+DZ6fi+HnQLW0ngCWarauam1bbbWVBT2QmTPNviCz3ejYdv917coeGGHtu0efBzwK7Jj64BbAJcAP6sT7Y5I/uSI87+8nA68DHwH3AOva3NeSC4GX8Ovd/unYEsA5wCjgQ+DPwMrp2LeBN4FpwEjghPaUOUYYeyCS+gKXU55jeiowAOiPGzevpfDvAduk/WOBpYGVgZtS2DGStpwfOhfwJPAFYDVgSdwAODod64d34CImAJ8B+gJfajCvFYDrgI8By+M3vq8Ce6fjZwErJh3OTWF74EY5+AkPMBHYIOm7dkrj7ip5vpxk1gAeSWEbUh6dOQ4o1f09eD2si9cLwO64UV3J8sB30u/ZWfghAJJWAj6Zws7HDdMVgU8DP8NvqNDBvmFmLcBhWdBhVnarDpP0WXyuG8Ab+HzHFSmPSq4NnF4j/WFmlo8KDc/SbzGzCcBV6ViLpA3T/j5AyaV5eUHS/YFD8bY+KAs/S1LvNAp2MW6wPIm32ZLAzsD0VIZfV9O7i1gW76Mr4G1V4hAAMxuc9CtxWlZXQyWtmeKD99e18Toq9a91KB7x6Ac8hPfLpYEzU5v8IZNZJ+UzWNK2mX7DgFVTGj9KYYMon+M5Refn1/BzAOAp4OMpvXtS2JbA9wvSqllXwQLIpPHgRk3HmDiu42k0xw24kTgcGAEIv5dcUCdeacrHXQCSlk8jk33lXrFDgV8A/wJ+CWxK+bpd4nPA74Hlkgy4kXkCPhhyLn5+XZyO/QofjDgKuAh/YG6aWPTSM9kOH+oGaDWzfG7Dzdn+ntn+hWmrZDfKRsr85F3gm3jHHYgbgDkbVIl3ipk9lvbrvFthDuOBo8xscum/pDOz4ydTPIl/N+BW/EkO3Pg6BR/deB6418zGF8QDGGJmIwEknQbcm8I/jxtyuXvhZDN7N8mejo98ghvE11ek+4SZXZxkrwVOSuFrp99x+NPj8vgF4aOk6zNmdkaWTlf3jT2y/fPM7Jmk8w/w0UPRuMFfjfOB7+Kjxd8GjqdsBL0L3FEQ51EzuybtXy/pGOCzwCr4hXfFtIEbJS8UpPH5DurdLO8Bp5rZLEl/oNxWa9eIk/NFoHe2/0aBzG5V4h5mZiVf3st18sn71OC0FeXz24qwovPzF9nxn5vZawCSTsIfNMH7Ty4HTdaVpCNJDzYDBgygtbW1sGBB97HYtMns0AnpvPja67wzH9vXzB6TtA7e957GR8x/BBwp6QR89O8wM6t2HytZya3AZml/HcrX1gPSBrCqpBXLUfmtmV0m6WhgvRRWipcPxpTO+5fxB8Od8PvbdQ0Wcy7CYOyZDMj2axlNq9Q4VmKl+iIN00x/uYnyhb+ISgOyxFNN5FHixexmVKKZurkI2Bb4Cj5SURqtmCZpqJn9siDuyCr7pfliK1c5nt/Mi3R8MduflO33ATCz2ZIOwZ8c1wN+WhKQ9CzwJTN7s0ralXSkbxSWz8w+lDQBf/JtRIeqmNlrkv6KjyoeKukcysbcH8ys6Cl5ZMH/z6b9/pTbpxZ9JC1lZpPqi3YKr5pZ6V0i87R5A7S3rUdnxmJX5lN0frb3/GiqrszsMuAygEGDBllLS0uRWNDdXLIMTP6oQ0ls8Jmd2WCbls7Rp0HSQMC7kkpTyFrxB6SdgcNxr8/XK6KNADbCr2XP4AbeeZQ9QiXPy0HA6LTfC8jPoQ/S70zKa1GU/u+BTwEhO7YLsB/+kHwWbohu32RxwyXdQ3kv29+ohtzobH+NzE01ZwNObEf+07L9/EK8biORJa1A2Vh8D9gYdwFu2kD0KY3k0UCcvG62q1I3XwUws6lm9lV85Gl7/ET/F+6q/IWk1QvSX6vK/pj0+34DsrmOJWZk+4V+GjO7I6WzAbAX7vqdBXyKsuuxM/pGLT9RYfkkLY+7DSt1aC/npt+SW7N30uuKKvJr1fg/pkKny6vUS6/5aCxC1uZpTlURtdoiL9NPq5SpyPhq9lzL8zmoSj5bF8QryqfD50eNugoWNHY5uGPxVxgAW1UbRO9aJC2JG2HH4zZV6d6yGcWDLGfjxt+Zks7Gr+PLZMdvT7+HAmvio4I/M7OpdVS5PeV3KH4efZHyaOO5+PSRJ3GD9mMNFzAjDMaeySP45HuAnSX9RNLKklZIqw1Lc+5yl9yVaZVWH0nrSzpY0sM07tbKyZ/yv5zmVayHu5gbobSgoLQ/AR/ZmZ+vDcjr5nxJm6W6WVfSVyTdQZq7KGk/SccCq+NPfH9Ov+An/xoF6Q+Rr9Bdnbnfj3dfQf5nShogX4F7ahb+t/YUTNIFwK74nMu7gVsoG/mlG25n9I2x2f6nNPfK8jz970naJBmL51B+Qm6kfKU81k4PGnNhZsMpjzrvlH6Hm9krVdL7bCrf0pIOpDy6OBr4Dz5JvTTZ6dC04neZdH5tJ+nXlI3UnkTeFhtJWiL7fw9lQ+qH8tXS/SStJmlnSZdQntrQEfI2PyPVVx9Ja0raXdL1zD1vtNG0fipf+T+A8nwsaOf5ESyA7HlMx+J/8VuweO/6cl3DccA9Zva8mX2EP7R/A58XfFalsJn9D7/3PIjPVy8tET8HeN/M/oC/SWA93JP0dXyucT3Owudf74BP1dgdn18JPoXpNHxRzke4cds87VkpE1vXbzS+SvrxKjKlbWCSbcnChmb5tJbCs7DF8TkPJfmP8JWJkyp1SPJtKawtC7uvQJeXsv3WTHZYpb4N1tE8aWXHeuE3pVp105JkT6kh8zZp5WeFnqMKZDtjlfSwrAx5eF5f1Vb4GnBcs32jRv2ujhui1fpUu1dJZ3kUtdHQCplvVBw/qOJ4Xk9vV9EnXyX9deZetVu5DWtA7znyDcgOzeRb6vXfvA6zsD4UrwAv9eET67R1fs63VaZfkf+wan0Ev7nVymdwvfKlY+1dJV23rqptsUq6h3PS59q3OnqPPmbvjWx3trRzlfSiuMUIYw/FzG7D5zTciN8EZ+LzFoaT5jWazwvaETd4nsGHuafgq6hvw12rTb+cynxu2J7AA/go1kTgdzTn3j4Y+BM+mjMeuJbyBN4ux8xm46ukj8XdyxNx4+cNfFTuWMoLPu7HF5+8kuRmAe/gdb+TmRW51PZNccanODcDu6Q2wdyluSPuLn4+5T0Vnxz9Q2CvpGN7+CX+Hq/ReL+YnMryPXwuTKf0DTMbhRtrzzH3NIXS8W/jK6n/idfBjJT+ecAgSwt96vBd3HAYV0PmRsrTNMbhI6rVuBcf5XoeX/X8Mj7xvLTiGjO7AZ96cEtKdyZujI3A3UW/aUDv+Yq5O+oA3JCqnA+Imf0KXyRyFz4aORNfGPRP3GC9pjJOO/X4Dn5uD8f7/gzgLXy05MSUfyPpzMKnU5yAjyBPxvvY87gnYkebv9MCgu7mxD/CgLWbi9OrF5x4LayyZtfoFMxF6T10QRDUQf7y4kPT33XMrK37tFl0SK7KF/GFNL8zsx9UHB9IeaX7H8xfQxMEczFo0CAbMWJEd6sR1OLdNvjZl2BkzW82OL2XhB/+AVo6Ng4h6QkzG1RfMogRxiAIeiSStpb0Ij5quRw+NaLHjf4FQdBJrDoQzn0MjjgHPvaJYpm+S8OXvg2/f7LDxmLQHPFanSAIeir9gPVx1/KTwPHJTR4EwcLKUsvC/zsB9vsBPHkfPP9Pf7n3En1h1XVgx6+6TDeTeTb+ZmZ71BHvaF6fxFdet1o3fo8+DMYgaJDk6hzczWosMqQLY91vBKepAfEt4SBYmJD8VTnd9LqcBngfX0A3Px5iP0n5bRyt8yG/QsIlHQRBEARB0Bwr458HPAl8jrskk/RrSW9JelPSPB+xSa+8ulnSeEmTJD0taeN07HBJL6bwRyVtmUYy/5yiD0l5tMyXElYQBmMQBEEQBEHnsB3+vsM18DcUVPIF/Ksrf8LfEtEK9E5G4JX4a6/OwL+a9Fd8JPPcFPcWfFSz0c/mdiphMAZBEARBEHQOQ83sDPw1UQMLjr+Gv9f40/jXuR7AX3325XR8N/wb6uvj78LdAP+YB8CzZnajmXXGV7SaJuYwBkEQBEEQdA75d54XqzxoZs9I2hQ3EHfCv7pyBOV52CfgX6UCH9R7HVinKxVulBhhDIIgCIIgmA+keY2H4a7mp1Lwxyh/LvPr+CdetwHON7NxlD9ssIOkr0nqOx9VnkOMMAZBEARBEMwfpgCfA47GXdP3AJeY2WhJh+GLaH6Pf8nr/hTn4bS/I7ALsCb+haX5SnzpJQiCIFjoiS+9BEXEl14aJ1zSQRAEQRAEQU3CJR0EQRAEQc/jxcfhhcfm/tLLNntA7yW6W7NFkjAYgyAIgiDoGUyfCg9eD3dcDC8VTCFYfhX4wuGwx9GwylrzX79FmHBJB0EQBEHQ/Yx7D07YAX77zWJjEeDD0fCnX8KRG8Pjd89f/RZxwmBcyJC0uaShadu8u/VpFEmD0yePTNKwBuTbkmxbB/LcJ6ur5dubToN5rS/pr5JGS5qddD+uK/PsKUhqLbVtd+tSSWr7Ur9rycJLYa3dplwXUu860RnnVxA0xUfj4Ect1Q3FSqZMhCF7whP3dqlaQZlwSS98bE75I+VtwNPdpcgCwD7AoWl/GPBhF+Z1Df5erSDoCWxOXCeCnsRvDoM3X2guzqyZcMb/g6tehhUGdI1ewRxihDFYIDGzgWYmMxvY3bpUQ05pdvZW6fcFoF/S/dxOymdxSfN8UaCnYGYtqbyqL90zKOlrZi3drUsQLPSMehke+2v74k7+CO66vHP1CQoJg3EhIrnPrs6Crs5ca4MlPZX2P8jfFC9pRUnT07F7Uljuqttb0qWS3pc0WdLdkjaoyLuXpGMkPS5poqQpkv4r6YeSOn0ku8hlVuHWPlLSmZLeTPo8KmnrTNYojy4CvJ7FHZhk+kg6JZVjsqRJqXyHV+jSksU9XdJPk14zgQNTXqU62BCYnLtAJa0g6deSXpQ0VdIEScMl7VORT16+oyT9RtLbwHT8Ra5IGijpCkkjU5t+KOl+SXvVSKtmXdVog16SfpzqZ3xq85GS7pD05Uyu0CUtd9Pfk+r2HUlnSToi02toURqSNpS79z+S9G4q77KZ7FqSbpT0gqRxkmZIGpPy+ny9cqU05nFJF5wTv5f0Xir7vZLWq0hjGUmXJx0mSPqTpG2K0q6hx5x+LmlbSQ9n9XW2pN6Z7OaSbpX0SspvRqqfWyUNyuRaqXGdKNBhC0l/T/mOlPQrpQeh1HdnpbjXZXH+mMLGSFIKOyjL58AUdoCk+1LfmyxpmqTXJF0iaUCS2SeLd1KFbr/Jjn2mXn0GPZQ7LoaOvBP6zstg1qzO0ycoxsxiW0g2oBWwKtvgtJX+H5rFOyIL3z+FDc3C3i9I7z1g1STbC/hLjbxvJ70kvobuuW7DGihrW5Jtq5LGuAI9xgLLJdlquhr+wfh+wGM1ZC7M8m3JwscU1Hu1NFqAVYBXasj8qEr5KvMZCHwS/45ptbRObk9d1WiDH9XI65yifpmFrQy8UxBvVLY/tErfLtL3ikx22xp6zQJ2zmSH5u2RhZfCWqvIFunwArB4khVwX53ytdaq34p+PgmYXJDeNZns12qUexKwUSPXiYp8JwIfFcidkuX7ZAobWaC3ARunsEuzsNVS2CU1dHkBWAK/vryawl6l/MEJASNT+P/q1eVWW21lQQ9lvxXNdqNj24h72pU1MMJ6wP17QdhihHEhwtx9dlgWdJiVXWvDgBtwQw/gqEzua+n3feD/CpIeB2wM9AduSWGrACem/a8Ce6f9s4AVgWWBc1PYHsC+TReo47QAK+E3SHC9vgRg7h79Qya7TlZXbcD3KM85PBZYGjdybkphx0jasiDPlVLc5fBRv9ttblfs8CyfVuB04OO4IbMf0BdYA3goyZ8habWCfJbGvzm6NPAJ/DNS5wErpONnJh12pDw383RJ1d5D0UKVuqrBjum3LencN+kyGDe2a3EcsGra/xtet4OARlzr/wZWw9tnWgo7uDSSBbyB98c1gD7AUsCe6Vgv4PsN5FGP8fg8wI8Bz6ewDYBPp/3PpQ3gddyY/xjwWjvz64ePCq4AbI23N8AhkjZL+08CX8DrZkn8HDw6i/9taOg6kbMUfs73B/JR6kOy/QfS75qS1pa0JrA2/tkzgB3Sb6m/vGBm76T96/F27A/0BgZQHv3cAPiSmc0GLkhh6wK7pf3tSSPrQPgkF1SmToKPPuh4OqNHdjyNoCax6GURwsymSboYHynZNt1o3gV2SiLXmNn0gqi/NrPnACSdjBs2ACX33p6Z7Mlpq2Q34NaOlaAprjSz4QCSbsENIvAbWSPkZbowbZXsht+kc+4zs9LNbUIT+SxG2RjPWQJvnxsrwq8xs1LYq/IpBjun/x/go3MzgX/IV50fh5/vuwFXVKTV3rp6Pf1+DPgZ8B/gOeDPZja5Ttxds/1TzGwMMEbSlcBP6sQ9wczeBd6V9Cw+P3RJ3Nh4Fx8d3QQ3xj+BGz05G9BxzjGzZwAk3QlslMLXBv7J3OU738yeT7KnA+1Z1jkDH22eDDwu6QrK9fQ54Bm87N/EH9QG4gZ8TnvKPQv4vpmNB26XNBZ/sMj7xgPACWl/+yz8NvxasUPqVxtm8iXeAU7F+/iquNFYpPOVwGm4EXwU/v3d0oPuNOCPRcpLOhI4EmDAgAG0trbWLm0w31l88vi5Ok17efl//2VU39ZOSCmoRhiMix4X4wbdkviF9znKozqVhkSJkVX2+6ffVRrId6UmdOwMXsz2J2X7fRqM394yPdVg+p2dz4qU2/HtZCyWeKNOfu2tq9PxkbNdSKNXiYmSjjGza2rE7Z/tV+tf1ain7/kV+lRSaUi1h3o6dKR8RYytMMKLzsOb8BHGarSn3O8lY7HEJLw/LpmFPYTP112c8mgi+EPW5/GRxR2z8AcAJC0HPEztc6AvgJl9JOkq/MFnzzRS/v+SzF/MbGxRZDO7DLgM/FvSLS0tNbIKuoVZM9030kHW2+LTrLeQtq+k7fB79wbA/4BvmdmTFTKfAX6DX5MB7geOMrP30/F9gHNwz8tjuGfhdZogXNILH1bzoNlo3DUNcBBl19TDZlbtnQZrVdkfk35HZ2HbZe6tORvutp6fzMj2q9VJrbrKy7RGlTKdWBBvSpN6lvKZCCxZkEcvM/t9A/l8gI8GAXxMc6+aztssL1eJRupqHsxsjJl9Dncn74w/gLyAu8kvVu2V22Oy/dWz/TUrBQvyradvPvL0WXzUatkCuY5QT4d2l68KK0nql/2f6zyUtAJlY/E9fArJYsCmVdJrtJ1nVPyfJ56ZTQRKL8/bIW3T8JHWR/Eb1Dey+K1pf2fKxuL9+LxG4VM6ijgfd3Mvhr+mqhQ33NELMostDht1cL1Sr16wcWeMU3ac00477cDTTjut7bTTTpudfg/sSHqS+uDep2WA43FPys0F19f18evOScCdwFeAX6U0VsW9VBPwuedbMfeUrIYIg3HhI3/S/pSKVyifm36XAbZI+9VGFwFOkK9MXQmfo1jivvR7RxZ2vqTN5CuM15X0FUl3MPcIQ08hr6vNsjlwMHeZrpS0XirT+pIOlvQwjbu3a1HKZ2ngCklrSuonaePkTnumkUTMbAplV9+KwBBJy6Yn08EpfCbtc4cWIl/RfFjK79/An/EFPOBz5vpXi4sbCCWGylfqbwl8qxNUK42uzsbnby4F/LoT0m2GvHzHpv6zGuV3HzZLb+CXkpaT9Gnmrqe/42UuGXMz8RtDf+DnVdJr5DrRDKW+t1HaHjezacA/Unhp6sV/stHAfBR8KjBJ0sbAd4sySKMhpXevlKbRvMbcLu5gQWSvYzoWf9DusOrATlGlIyTj8HL83qD0e3kHjcbdcSPxIjO7CJ+esQ7lqUMlbjCzvczsUsoelo3T79dxr8BZacrUbfhUkY83o0gYjAsfT+GvWQGfVzRD2atiANLcqwezOBPwm301lsEn9o+hPH9xNOnpBfgTvnAB/MnlaXwE7FX8yejL+MnT08gXZvwFmK3ya3rOozxq8gXgJbxML+LzpbbrJB1OpTwX8BDc1TgJeBZfVbpJE2kdhy9QAp9TOB53+ZUWwvzMzDpzZvg2wFV43UzCjZA90rGnzey9ahHxh5Z30/5XUtwnKC+UgCZGOyu4Lf32xadcfIi7zecnf08b+JP/S8Db+AKnEs2UbyJu+H+IG+el0bU/mtkzZvYRZSN1deBNfKTxkxRT9zrRJCWjTWkrGYoPZeG5HMAj+EI78GvEBLzf1+J3Ff+vMrP29pOgp7DD/rDcyu2Pv+d3Ok+XjvEL/GE5p18Kby/rpN9R6fet9LtuLlSx/qDkbSidfw2lUY8wGBcyzGwU7v55jvIK0iLOzfavq7NI4dvARbjBOBUfpdoxLTwgrWLcG19N/C/85jYNnzt3dwqvXBzSE7gFX008krI7F4BUHzsCp+CjfJNxg/E13CA5HDcAOkQyqgbhxvcLeL1NBF7GV5B+vYm0ngO2xJ9A38RHcMbjDwf7mNkvO6pvBbemrQ2vn5l4XV6BPxXX0vV9/An5PrxPvQf8kvJqWJh7FKwZjsdf1zIaN2TvoLxieb6QjJj98LoYj7+a5s+kBRiJZso3FnfhPoTX12h81PSbmczB+MPbuJTntcABVfRr9DrRKI9UpPNw+n086VtijsFoZuPwfvIw3n/exhfkVe2nZvYQ5fm7s5j7fZLBgkrvJeDI37Qv7tZfhkFf7Fx92k+1t1BUC28PpYevwgel5FW6Cn8AH9qeNKpmHA9niyaSvo3fVAE2L634zI4Ppew+2zm9AiYIOg1JuwBPlBZVyF98fRc+CmfAp0qr8xdEkot9TGlUN80zvJryK6iONrNLqsVPcdpwt9Yb1oO/ajS/kLQU/gD3ceA2M/tKo3EHDRpkI0Y0+J3ioHu46Vdw5Un15Up8agc48y7oU/kihMaR9ISZDaovWZ/TTjutjeKpSm8MGTJkYHvSlLQv/mB+kpn9Kr1p4Wf4Q/AjwOzS6KKkHXFv3yvA50rTPyQdD/wWOMDMbpJ0De7R+oSZvdqoLjHCuIgh/5rG65SNxVsrjcUgmE/8CvhA/jWS93B3f8lle86CbCwmDgTekH/p5S18VLBkLD6MjwIEDSBpdUkvUHbrzwTO6F6tgk7nqyfCSddC/9Vry/VeEr70bTjrvg4Zi13AT/DR8pzJ1H9VWC3uwq8dR0s6GvcqtOGLx6aQvHfpAfUufFHY5cDnJZXmDt+IT0E5SdJ38fciP9yMsQhhMC6KrIa/o+1DfLX04bWEg6AL+TP+7sY++MKZMfgUhq+YWdEK9AWN4WmbiU9an4xP2fgBsGuVd54GxfTGXymyFD5144DK14oECwm7HATXtMHPboEtPgd9l/bw3kvAGuvD4b+E696C718CSyxZM6n5zZAhQ67Hv5z2Bu4leQM4IoW3CzObCuyPT1U6Dzce9zezym8hborPl+wL/B6/v1+Q0ngHn960PP5qnacoL4ZsmHBJB0EQBAs94ZJegJk1CxZr5CNQzdOZLumFnRhhDIIgCIKg59JFxmLQHGEwBkEQBEEQBDUJgzEIgiAIgiCoSRiMQRAEQRAEQU3CYAyCIAiCIAhqEgZjEARBEARBUJMwGIMgCIIgCIKahMEYBEEQBEEQ1CQMxiAIgiAIgqAmi3e3AkEQBEEQBAsyp512moCtgROAL+Of6JsC3AH8Bnh8yJAhC/Sn9WKEMQiCIAiCoJ2cdtppvYHrgPuB/fBvOiv9/j/gAeC6JLfAEgZjEARBEARBO0gji38A9gaWYl67qlcK3xv4Q5JvCknbSfqPpGmSnpS0ZQ3ZlSWNkWSSfpiF7yPpFUlTJbVKWqdZPcJgDHo8qXNb2ga2M431Jf1V0mhJs1Nax3WupsHCiKSBkoamraW79ZkfSBrW6DmX6qckO2w+6Xdcao/j5kd+853x78HtZ8DJ68PRy8APVofrvgtvP9/dmgXzsjWwFz6aWIt+Se7TzSQuqQ9wC7AMcDwwALhZUrUPbJ+Hu8PzNFYFbgQmAD8CtsKN3KYIgzFYVLgG2BNYGXcVBEGjDASGpK2lWzUJShyHt8dx3atGF/DSw/DTDeG2n8F7L8O0ifDh23D/hXDqJtB6WXdrGMzND6gw0GrQN8k3w+64kXiRmV0EXAmsQ8G1SNLu+H3u7IpDXweWBM4yswuA24AdJH28GUVi0UuwqLBV+n0B2NLMpnSnMvMDSX3MbGp36xEs3JhZG/EQ1jmMaYPz9oAp44uPz54FfzwKVlwDNv3SfFUtqMoeND741ivJN0PJdTwq/b6VftfF50wCIGlp4BLgZGBiE2m82qgiMcIY9CgkHS7p5TTP4ilJX6gh20fSKZL+K2mypEmSHpd0eCYzWJJRfjjaEJic3GctSWYFSb+W9GLKd4Kk4ZL2qchvcOZ6O1LSmZLelDRR0qOStq6Qb5F0j6R3JU2X9L6kxyT9skJuDUkXS3o9yY2TdJekHRuss7akU5ukHZIuU/CLR0nmQEkPSRqf5sG8lPTvV5HWVyT9I+k6Len+kKQTMpmhWT3sLenSJD9Z0t2SNqhIc3FJx6e5N5NSHT8n6XRJS1XIltJtlfSl1J5TJL0q6URJymT7S/q9pNdS3hNSG96Q6yCpl6RjUloTU3r/lfRDSTUfmpOL9cEsaEim49BMbi9Jf09tN13SSElXqsEpFJKOkDRC0gep3kdJuk/Soen4uVm+21TEfSKFfyipb+p3c1zEkr6T+sYkSbdLWk3SBknfSfLz7ds11FtF0nUp/Y8k3SRptSz/qi7p1B//mvrHjNSfbpS0aWU9Z2l8VtK1qS7HSrpZ7lIrnVMGrJ2irp3Fa2ukrns0f7+gurFYwgzu+MX80SdohEZHF9srX0npGli54vokYDJwL7BKCltJ0gpNpFGTGGEMegySBuPD7SU2x19JMK5Ath++8mybikODgCslbWlmxzaQ5yrAo0A+NL8ksCOwo6QTzezXBVHPBpbP/n8GuEvSumY2XtJawJ3MfXHon7ZPAD9O+W8APJzCSywPfBHYTdKBZvaneuVIrIxfLPpUlPECoLIu1gN+kvLY0cymJEPkz8z9IDkgbf3wV0NUckWF7l8AHpK0mZm9K59n81fcrZKzEfAz4Msp/0kVx7fA2750YVsXr/O3gWtT2B+AymGWZYD18RWLL0rqBdyKTzjP+RTwa2AnSXuZWbtfdyHpZKDyDr4mcDiwr6Ttzey5GvH3Byr9jB9L23i8nOcD38Xb5ijgXynuJ4DSBPjrUjvm6XwZODT7vwfwf8AaQMno+wRwiaSXzeyBAhVvS7qU2B/YRNJWZja5RrkOTrpX9qcDgH0kfdHMWgui/o25z6390v/PVctrocAMHhnWmOwrj8C7L8Gq63epSkFDTKH+/MVK+WZ4Pf2ukX5XL4XL5zfONrPp+DVnQ+DFLO6PgUm10mhGkRhhDHoE6cZ+Zhb0DWBZ4ETcEKrke5SNxWOBpZPcTSnsmGQ0DjOz/A463MyUtlbgdNxYnIXfmPriJ9VDSf6MfDSlghZgJaA1/V+RsgHzacrG4tdwI3Q1/Kb3+yyN83CDazywM27srYe7znsBF0paokr+lfRLeq+L18eZkralbCwOA1ZNcj9KYYOAo9P+9pSvCZ8BlsDrYk/ghip5jgM2TmW4JYWtgrdbqewlY/EpvK5XBe5JYVsC3y9Id1ngLGAF5jZ2D8n2SyOwtwLLpTib4u9BK7lcvkrZWDwLb6NlgXNT2B7AvlXKhpkNxtulxGlZ/xkqaW28DwF8COyUdDkjha2Q5VWNUjkmAhvgfWXtpPvdSY/XgNuT3AGSlk/7X8/SuaIg7ZWAffBzo3Rz+DTwPt62+2eyX6eYN5I+awCPpLANgW9VK5B85PgCvD/NxOt4WdzYJZXx0irRX8f7yfrA6BS2q6TVzKw1nc9vlHTL2mNgNX0WCKZ+BJM+aFx+7Bv1ZYL5wR3A7AZlZyf5ZrgLPw+OlnQ08E2gDb/vTAGeTHIX4ufz/pTvMdcAN+MLXqYDJ0n6Ln4+PmxmDbujIUYYg57DBpRHMZ4ysz+m/d9JOh5/esrZM9u/MG2V7Eb5ZKpGKZ3FKBs8OUvgRsCNFeFXmtlwAEm3UJ6AXHKV5U9uR+FG3AvA42Z2f4rXl/KoyXLM7fos0R83qh6rU44Sh5nZ22n/5TRqW2Jw2irZDfhthc4/xkc+XwD+ZWbVLnK/Lo2epZG2/VL459PvlzPZnyfDB0kn4aOR4EZ25Qjde8CpZjZL0h8ot+/amczrwCa4cXsK8BzwX+BcMytdwPN+cnLaKtkNNzrbwxcoX0evMbOHwN32eLv3B3ZW7fmkpXpfKpXjCeB54F4zy/2Tv8ON3774qOF5+GgdwBNm9lRB2o+a2f8lnR6nPJfpfDMbJemvmexaVfQbYmYjUxqn4aPY4G18fpU421EeJbzTzP6S9i+VdBTuPVhf0ifM7JWKuKdm/eQflPvU2sA7VfIrRNKRwJEAAwYMoLW1tZno8xXNmsGOCDXoJXzq2RcY//4C/Vq/hYXf4te5peoJAlOTfMOY2dTkhfg9fs7/DzgiXRtzuRHACJgznxHgv2b2Qgr7Ou5VOQf3UBzWjB4QBmPQc1gp23+r4tgo5jUYV6E+K9UXaXc6+bB/7k7tA2BmT0r6GT7S1kK2ok3Sbfjo0Yq4odqe/IsYnRmLJZop323ARfgT7N6UR+ZmSbqkiot/ZJX9kpt65SrH8+GRIh1fNbNZaX+e+k0cgbs8N6A8YgrwhqR9zOzpKmlX0mj9FlFYvnQxH4XXw+J4W1e2TYmLgG2Br+AjqKVR1GmShprZL1OawyU9hbvrvy3pAXx0F4pHF8FHIkrkrrA3UprTs5vOklXSqNfGRVRr91Lem6f9VYBKg7HmudUMZnYZyd0/aNAga2lpaTaJ+ctTu8Jzf68vt8zKbPGVI6F3tSYL5iP/xqfd7E1t1/RkfDrI481mkB5ENykIL1xsZmbDcI9SHnYr7X8wBsIlHfQcxmT7a1QcW515GZ3tr5G5peZslN2itSilMxFYsiCNXmb2+4J4M7L9wiEBMzuD8gjh1/B5deDugP2BD3BXOMDLVcrQy8z+1kA5oHhuTF5PB1XJY+ukr5nZMbgbdRvccLkLN2qPkfSZgvTXqrJfas/3G5DNdSwxp36rzS80s3+Z2Yb4qNnu+KjoRHwkqvRaiTzt7aqU/6tF6edZ1ThWWL40d7PUb2fibV2cuNlUMys9QGyPz338F27A/UJS3v/PS78b4S5f8BvR9VWSn9lkeBH12riIau1e+b9m21O97hfoT6xVZde6066dHb4ZxmIPIX3u71DcGJzEvO7p2ZSNxUMX5M8DhsEY9BReojwCs4WkQyQtU8UdDXPPA7lS0nryVdPrSzpY0sPM7b6sRimdpYErJK0pqZ+kjZM765n2FEbSJ5P7bjN8hOU2IB86WCu92qf0WoT1JP1K0iqp3JtJ+kF2vL3k9XSG/IsBfVI5d5d0PXBQ0nmn5CpeH2+Pm4F/5joXpH+CpA0lrYTPESxxX0H+P5W0jqQBQL5SvFGDeC7kq7z3xI3uB/D5q6UFUiVd8/zPT/XaR9K68hXhd1CeQ1iNsdn+RhVzSu+mbHwdIml7ScsCp1IegXug1uuNJO0n6VjcwHwGX3hU6ndi7geoG3B3PfhUCYCbzGxCnTJ0hCHylfyr4+8+LHFftQj4XMdSW+wuX0W+tKQj8BFSgBcL3NGNUmqT/hUG9YLNFnvDjlWnhjrrbgN7/mz+6BM0xJAhQ2bg19Fd8OtmyXCchJ/PLUOGDDkwyS24mFlssfWIDZ9fZxXbLHx0pvR/YJLthw/tV8pbpWySL4W1VuQ5AHitVjpV9BtcJXxoCtu+Rpqz8HdBgo8Uja0h29ZAvbXVksVdnrXqaXCSO7iGzERg9SQ3NAsfVSD7HrBqkl0MXy1eLd0ngKUaaKd56gN3ZVZL99wk0ws3GmuVv6VO/fbBR8wK4+HzIqul/QHwyTrpn1Ij/ttA3wr5Uytktqs43pIdG5aFDysqc1GdV8gWtfHzQL8kO7BKfgfhfb2oXFMrdMjzG9iAzhcWpDmsVj1vtdVWtkAwe7bZnWebHbea2WGUt6OWNrvmO2ZTJ3a3hgsVwAjrAfe/BWGLEcagx2A+7+Kb+ItEp+MLGL4C/KdAdjI+MnQKPhozGXfJvoaP5h1O9TljeTrv4SuFf4Uv8JiGG0cv426+aitH6/EacHHSbRx+4xyHj4TtbmZPpvyfx+dzXZziTMdXTD+Hv2LoqMqEm8XMvoMbg8NT2jPweaIP4m77u5LoE8DVuDEwPuk8Bje4WsxsFPPybdwgHYMbAfcCO5rZuynvWfjnsE7AV0lPxuv4eeDnSbbylTqNciFen2/j9TYVnxA+hDSn0Xzxy974Sut/4W07DZ9Hd3cKr7kwynx08AC8fuZ5jYyZnZXyeACvt5l4/V6FPxhUfaVO4n68r72S9JuFL+64EdjJ5n3J/MWpDADPm9kjdC37Jv3GJ/1uBnaxGq/UATCz63Dj9Q78oWgm/jBxE7C1Fb9Sp1GG4vXzfh25BQ8Jdj8RzhkJx90Jh10J3/kz/HYUHPJ7WLKRtRVB0PnIDewgCILGSCuAh6S/O3fwxh80iaRP4g9RiwHfN7NqK5WDjEGDBtmIESO6W42ghyHpCTMb1N16LAjECGMQBMECgKR9Jb2Ej9Quho9iVlsdHQRB0KmEwRgEQbBgsBz+UvfZwD/wqQ013cJBEASdRbikgyAIgoWecEkHRYRLunFihDEIgiAIgiCoSRiMQRAEQRAEQU3CYAyCIAiCIAhqEgZjEARBEARBUJMwGIMgCIIgCIKahMEYBEEQBEEQ1CQMxiAIgiAIgqAmYTAGQRAEQRAENQmDMQiCIAiCIKhJGIxBEARBEARBTcJgDIIgCIIgCGoSBmMQdABJrZIsbQPbmcb6kv4qabSk2Smt4zpX02BhRNJASUPT1tLNusw5F7pTjwWaCe/Bq4/Bm8/A7NndrU0QzMXi3a1AEARcA2zT3UoECyQDgSHZ/9buUSPoEG8+A7efBv+5HWbN9LCV1oaW78BuJ0CvxbpXvyAgDMYg6AlslX5fALY0syndqcz8QFIfM5va3XoEnYeZtTQqK0lAbzOb3nUaLSC89BCc/yWYNmnu8LFvwC0nwav/hKNvDqMx6HbCJR0EDSLpcEkvS5oq6SlJX6gh20fSKZL+K2mypEmSHpd0eCYzOLnvSg9uGwKTk1uvJcmsIOnXkl5M+U6QNFzSPhX5Dc5c40dKOlPSm5ImSnpU0tYV8i2S7pH0rqTpkt6X9JikX1bIrSHpYkmvJ7lxku6StGODddaWdGqTtEPSZQpwSSZzoKSHJI2XNE3SS0n/fhVpfUXSP5Ku05LuD0k6IZMZmtXD3pIuTfKTJd0taYOKNBeXdLykJ1MbTZX0nKTTJS1VIVtKt1XSl1J7TpH0qqQTkxFUku0v6feSXkt5T0hteEOug6Reko5JaU1M6f1X0g8l1XyglzQMeDALGpLpODST20vS31PbTZc0UtKVqjOFQtLKSd4k3V1xbPcsr9NT2Dwu6dTP5shJ+qmkNmAm8NmKfjs4i1ctvKF+u8AwcwZc9rV5jcWcp/8CrRfPN5WCoCpmFltssdXZgMGAVWwzgNHZ/4FJth/wWIF8abuwRpqlrQVYBXilhsyPqug3rkB2LLBckl0LmFwlzTFZmhsA71eRmwUc0EC9tSX5ScCULP6wdPyCGuV7HOib5LZJeRbJjcjyG5qFF+n+HrBqkl0MuLNG/k8AS2Vpl8LHA7ML5A/OZP9WI909kkwv4C815G4HVKNuh9WIOzTJnFxD5gPgk3Xa71bKfX3lLPyaFD4bWCeFtZbSzuRasvzGVOTfwtz9dnCV/jy4mX5bbdtqq62sx/GvG8y+Rf3tlA27W9OFlvz6EVvtLUYYg6AOknoBZ2ZB3wCWBU4EVi6I8j3KcxKPBZZOcjelsGMkbWlmw8xMWbzhZqa0tQKnAx/HDaX9gL7AGsBDSf4MSatVUbsFWInynLYVgS+l/U+ntAC+BiwJrAZ8Dvh9lsZ5QH/cQNoZ6AOsh7vOewEXSlqiSv6V9Et6r4vXx5mStsXrB9z4WTXJ/SiFDQKOTvvbU/aIfAZYAq+LPYEbquQ5Dtg4leGWFLYK3m6lsu+e9p/C63pV4J4UtiXw/YJ0lwXOAlbI9Ac4JNsvjcDeCiyX4mwKnAC8lY59Fdg77Z+Ft9GywLkpbA9g3yplw8wG4+1S4rSs/wyVtDbehwA+BHZKupyRwlbI8qrGVel38aQvkvoC+6TwVjN7vU4aJVbCz43lgDWB/zYYr0Sj/XbB4bn7GpN79wUYO7JrdQmCOsQcxiCozwbAx9L+U2b2x7T/O0nH4ze/nD2z/QvTVsluwJN18i2lsxhlgydnCdwIuLEi/EozGw4g6RbceARYO/3mN/ijcCPuBeBxM7s/xeuL34jBb/APFuTfHzeqHqtTjhKHmdnbaf/l3NWIjygNroyA19NvK3T+MfBw0vlfZnZHlfx+bWbPAUg6GTe6AT6ffr+cyf7czF5LsicBpekGXwJ+UZHue8CpZjZL0h8ot+/amczrwCa4cXsK8BxuIJ1rZqXlr3k/OTltleyGG53t4QuUr/HXmNlD4G57vN37Azur9nzSu4B3cMPs67hhtgewTDp+VZV4RdxnZhek/QlJlyai1++3lUg6EjgSYMCAAbS2tjaTX5ez4ag3WbVB2cce/QdTl1m9S/UJglqEwRgE9Vkp23+r4tgo5jUYV2kyzWq0N50Xs/18clQfADN7UtLP8JG2FsoGJZJuw0eSVsQN1fbkX8TozFgs0Uz5bgMuAr6Jj8qVRuZmSbrEzI4tiDuyyn7/9LtyleNv1NHxVTOblfbnqd/EEcAf8IeNH2Xhb0jax8yerpJ2JY3WbxGF5UuG7ii8HhbH27qybXLZa4CT8DmHawMHpsPjKX6QqcZTTcjOc29qpN+a2cyKOJcBlwEMGjTIWlpa6FFM/ie0NTDK2Hc5tv3iftC7T33ZIOgiwiUdBPUZk+2vUXGs6JF/dC6fuQnnbJTdorUopTMRWLIgjV5mVuSKm5HtW1HCZnYG5RHCrwHXpUP7Avvj89tKRtHLVcrQy8z+1kA5wOcvVisfwEFV8tg66WtmdgzuRt0Gd//ehRu1x0j6TEH6a1XZL7Xn+w3I5jqWmFO/Zlatfv9lZhsC6+Bu7x/j7bg2cHZB2ttVKf9Xi9LPs6pxrLB8khaj3G9n4m1di6tLUfGRvZIb/wZrbkV/key0bD+3htYtSqCBfrtgsf3hsFjv+nKf+UYYi0G3EwZjENTnJcojMFtIOkTSMlXc0QC5i/RKSevJV02vL+lgSQ8zt/uyGqV0lgaukLSmpH6SNk6utmfaUxhJn5R0GrAZPvJ0G/D3TGStZAiU3HzrSfqVpFVSuTeT9IPseHvJ6+kMSdulelozrcK9Hjgo6bxTchWvj7fHzcA/c50L0j9B0oaSVsLnCJYoDenk+f9U0jqSBgD5ittGDeK5kK/y3hM3uh/A56+Oq9A1z//8VK99JK0rXxF+B+W5kNUYm+1vVDGn9G7cIAQ4RNL2kpYFTqU8yvpADXc0AGb2IvBo+vtDfO4gNOeOrkY+mvvltGp8PXwkeS4a6bedoM/8ZdkBsHvRTISM5VaDLzTyfBkEXUx3r7qJLbYFYaN4RfMsfHSm9H9gku2Hr/Cttjp1jmySL4W1VuQ5AHitVjpV9BtcJXxoCtu+Rpqz8HdBAmyEGyTVZNsaqLe2WrK4m7lWPQ1OcgfXkJkIrJ7khmbhowpkO2OVdGU7zVMf1F7dfm6S6YUbjbXK31KnfvtQvBq8JR3v0CrpLJ9vVsT9b4FMa+l4FtaSxRlaEGdx4OVM5iN85fWkgj7QUL+ttvXIVdIlbv+52Xf6zbs6+vQtzN59qbu1W6ghVkk3vMUIYxA0gJkNw2+arwLT8QUMXwH+UyA7GR8ZOgUfBZyMu+New0dFDqfKnLGKdN7DVwr/Cp/cPw03jl4GrscXIbSH14CLk27j8JvtOHwkbHczezLl/zyweZJ9DS/3eHwBx5W4e7JDmNl3cGNweEp7Bj5P9EHcbX9XEn0Cd40+n+Rm4a7lO3DjaFRB8t/GDdIxwFTgXmBHM3s35T0L2AtfufwU3k7TUh4/T7I1XpBXkwvx+nwbr7epwP/wr7L8KOU/G5+LeSzwL7xtp+Gjbnen8JoLo8xHBw/A62dywfGzUh4P4PU2E6/fq3AD67kGy/Mn5p6v2Rmji5jPOdwz6Tcxbb+jeMpGQ/12gWSPU+DXo+DAC2HX78PuP4aTHoafPQkD1utu7YIASO/4CoIgWBhIK4CHpL87m7+eKAgYNGiQjRgxorvVCHoYkp4ws0HdrceCQIwwBkEQBEEQBDUJgzEIgiAIgiCoSRiMQRAsNJjZUJv7azlBEARBJxAGYxAEQRAEQVCTMBiDIAiCIAiCmoTBGARBEARBENQkDMYgCIIgCIKgJmEwBkEQBEEQBDUJgzEIgiAIgiCoSRiMQRAEQRAEQU3CYAyCIAiCIAhqEgZjEARBEARBUJMwGIMgCIIgCBZQJPWW9JikGZLe7ap8Fu+qhIMgCIIgCIIux4DbgInAp7oqkxhhDIIgCIIgWEAxs5lmdjbwVlfmEwbjAoSkFkmWtqFZeGspvANpt6U02jpD16BnIGlzSUPTtnkXpF/YJ9uRTknHwZ2nXdW8Dpb0jKSJme7Ld3W+QQDApHdhxJlw135w91fh2Yth+sTu1iqoQ3atGNjdunQX4ZIOgoWbzYEhab8NeLq7FKlDScfhwLCuykTSJ4E/EA/LQXfw1G/gsZNh9oxy2Kt/hn/+GD73R1hnr+7TLQjqEBfNoEuR1Gd+xgvmL2bWamZK29Du1qcaWX/agvJ1bwiwWNL9w07OJwjm5n+Xw6M/nNtYLDF9Atz9/+Dth+e/XsFCgaQNgeWAxSRtKKlfZ+cRBmMXI2lLSTdIGiVpuqQxkh6UtHUm00fSKZL+K2mypEmSHpd0eAfyHZwNoQ+uF14ljc0l3SrpFUkTSiuwUtigCtlhWbo7SLpZ0njg+Tp5lOK0StpH0tOSpgM/Tsd7STom1cdESVNSPf1Q0uIVaR0haYSkDyRNS3V+n6RDq+j5WUl/kvShpI8k3SRptYo0l5J0mqT/pbwnS3pK0g/y/CUNzNIdJukbkp5NcZ7PdUjy60i6RtJISVOTDs+muKtkcu3uG5JagauzoKtr9IlHUh1Mk/SqpHMl9W8gj7rTJNLF668p/XclXSFp2SzvfCrFTnmfyNLbSNIfVT6PRqc+tmmFPlX7YUrv2kz8NGCWsmkYkraVdJuk91J/fzulObCybrN8PiXpXkmTgLszmb0k/V3SuKTzSElX1kmral01gqRDJb2U+tRTkr5Ykf7AJLe0pD+kfjU2lfVDSQ9JOqAizfyacbqkIUm3CSmNZSR9Rr5Kc3Lqx/vUKOOOku5Isq9L+pacEyW9mfS4XdIaWfyG9e2RzJ4Jj59WR2YGjPj5/NEn6DDya/6fJb2TzvEHJW2THd8+9ddJ6dp1Y+r/53aRSs8D+wD90/7WNaXbg5nF1kUbsC8wA1/BVLkNTjL9gMeqyBhwYZZeSxY+NAtvLYVnYYMr86oT3pbC2rKwr9XQaxKwUSY7LDs2Jttvq1NHJbkPgFl5+fAHmr/U0OF2QCmd/WvI3VxFz/cLZJ8H+iXZpYAnaqR7J9AryQ7MwsdVkd8+0+N/NdL9VLN9o0rdttaIW+p/l9aQaQNWrZNHS95mVfIuqo8rCvpj5daaZLYHJleRmQLs0Eg/rFEfbSnuV4GZVWTGAhtUKV+eT0nnk2uU6wPgk83WVQPXm0MK4s4A3sv+D0yyq9bQz4BDq1wzis6Zv+OrM/OwmcB6VcpYlMb/FYQ9lMVvWN9q21ZbbWXdxut/M7uQBjaZTRjZfXouggAjrLHza845hN8bXkv/hwO3pP1JwMeB5bNz+UHgHsr3t3Mbya8nbjHC2EVI6gtcTnme6KnAANz63x/vbADfA0pPJccCSwMrAzelsGMkbTk/dC7gSeALwGrAksCywNHpWD/g21XiTQA+A/QFvtRgXisA1wEfw0+2YfgNfO90/CxgxaTDuSlsD9woB9gx/U4ENkj6rp3SmDPqU8HLSWYN4JEUtiHwrbR/HFCq+3vwelgXrxeA3XGjupLlge+k37Oz8EMAJK0EfDKFnY9ffFYEPg38DBifjnWob5hZC3BYFnSYld3HwyR9FjgyHXsDn++4IuVRybWB06ul3wT/xutuG2BaCjtYksxsmJkpkx2e6diSwi7H+9IbwFZ4226BGx59gN9XyXeuflijPgbK3TcXA4vh7bthymdnYDpeL7+uks8b+Kss+gFHScrr7UNgJ9xVdEYKW4FyH66kal1VkQd8JB74RRb0zZTnycAqBVE+Ag7Ab3798Hr8LG6YAxxfJau+uAE/MKUBsCvwKH5t+2EKWww/94p4Bu/Hx2Vhe+HXlhXwOgDYQdLqHdS3ZzDxzQYFDSaN6lJVgk7hy8A6+H28xcz2wwc3+uHn3h749f81YBcz+wLw3zwBVXl3otyjNFru2fvifClNg8Sil65jO2CltN9qZrmv4eZsf89s/8K0VbIbZSNlfvIu3vnPxS/UfSuOb1Al3ilm9ljaf67BvMYDR5lZ6QYwXtKZ2fGT01bJbsCtwOvp/1LAKfjI4PPAvWY2viAewBAzGwkg6TTg3hT+edyQ+3Kev5m9m2RPxy8O4Abx9RXpPmFmFyfZa4GTUvja6XccbkgsjxudHyVdnzGzM7J0urpv7JHtn2dmzySdf4CPKonGDf5anJDq7l1Jz1I2+gbgfawqktbDjTfw+nuiQGwTSauW2iejmX64HW4Ugj8kvFAg8/kqcb9rZv9L+y9IOpLytfUaM3sIfCU4cBRuWO0sqY+ZTa1Iq711tT7+4APej65Kef4G+H52rMTkpMefgI2AZfD2LlHt3P6LmT2S0s7dXmeb2VhJtwPnpLC1qqTxSzMbI+neLOwtM7skpXt/lu5awKj26pva4kiAAQMG0NraWkWlrmWV8aPmPCHW49/PvMjkFyq7RdDDGJh+X0yjlFC+ZqxN+aE/P/48sFmWhlHx7kRJOwA/xx+OtgWul7SmmU3qikI0SxiMXceAbL/Wzaro6b+SleqLNEwzbX4TPsJYjUoDssRTTeRR4sXMWCzRTN1chJ9gX8FH8g5J4dMkDTWzXxbEHVllvzR3b+Uqx9+oo+OL2X5+ovcBMLPZkg7BR7TWA35aEkhGwpfM7M0qaVfSkb5RWD4z+1DSBHyEqhEd6lGzPurQaP4rMa9B1Uw/bCSfPpKWKrh4V+ZTrV5nSRqF96/FcQP17Yq4NetKPg9zp4o461Dus5V5mqS3mNdgPAkfta9GtbZpy/anZPulc2J6FrZknTSK4ldLo136mtllwGUAgwYNspaWlhpJdCHTt4Srfwsz69z3V/wUW3/h0PmjU9AR2tLv+slTYpQfWt7AH3IAPpHF2TDbx8xmAmdL2ojyy7a/gD8c/Tmlczx+X7tfHXhtXi0qPDw1CZd01/Fetr9RDbnR2f4amTtuzgac2I78p2X7+cV03UYiS1qBsrH4HrAx7mbatGqkMlPqizQUJ6+b7arUzVcBzGyqmX0VvwlvDxwO/Au/4fwic23lrFVlf0z6fb8B2VzHEvkyyMKT3MzuSOlsgLvjTsfnuHwKHyGtTLu9faPWRaawfPJ3EpYWWhSVrynMrG591CDP/74qddArG+HLaaYf5vlcXiOfee74ZlaZT7V6XQwo9cOZ+FzGyrTaW1djsv05fT25siuNRZh7KsU+wJKpjGPr5DOzyfBGZevFb6++PYMlloWNj6gvt/kPul6XoDP4G240fhx4UNLN+PSoKcBVwB24F2k9+cK3u2ns3rkyMCkZoBOzsJJhl0+veg84oOhaVWsDLgHeyP43TBiMXccjlC9mO0v6iaSVJa0gXw1cmnN3RxbnSknryVfGri9/wfDDlF2ZzZA/sX9Zvtp4PdzF3Ailyf+l/Qn4KMb8XMaX1835kjZLdbOupK9IuoM0d1HSfpKOxW+Wz+BPaM+kuNVumkMkrZGMySFZ+H0F+Z8paYB8lempWfjf2lMwSRfgc78m4heBWygb+SUjozP6Rn5D/ZTmXlmep/89SZskY/Ecyu6+dpWvHZT0XDs9rABgZi8DL6W/n5d0nKTl0zZI0qnAjZ2Q/6P4VAGAQyUdKF/9u7Kk7ST9murzDiu5m7IBdEhaLbks3m9KI4EPFLij62JmLQU3gTZ8ZLL0lYctS/oDJ1Dc93MD7UOgt6Sf0bnejM5kQdN3Xj5zNgzcs/rxLU6EjQ6rfjzoMaQHx13x6/aGwOfwxS+7mtkr5q/p2hN4Fp9H/T7w1xR92jwJlnkfWDo96C2ThZX4FH59WRf3ThRNU6rHJlTMp2yYRlfHxNb8RuOrpB+vIlO5srElCxua5dNaCs/CFscXdZTkPwJm426uuXRI8m1kK0ZT2H0FuryU7bdmssMq9W2wjuZJKzvWCzdqatVNS5I9pYbM20DfAj1HFch2xirpYVkZ8vC8vqqtxjXguGb7Ro36XR2/QFXrU12+SrpCvrVShxRe1M5D07Gd8Cf3ano23A+p8paAdOzrzL1Sv3IbVq982fF2rZJupK5qtEW1VdKjs/9rJ9mfFsi+T7ZKu0qdFbZx1p8G1quvKrJ5Gw7Nwlua1bfa1q2rpEvMnmX2ys1mf9nV7PIVza5c2ezur5qNGt7dmi2y0OAq6WY3YLlsvxd+bzHgm1n4hvg8xvfT/k5J5mvA71L/XrqUXjp2fvp/Ne6+Pgy/vwufWjMJX3R5dwqfBFyd5fkh8Iv2lClGGLsQM7sNX+14I260lNxQw0nzGs3n7e2IGzzP4B1gCr666jbctVo5z6mRvGfiTzgP4KNYE/EO2Ix7+2B8kvk4fBLvtfhk3PmCmc3GV0kfi7uXJ+LGzxv4yXAs5QUf9+OLT15JcrOAd/C638nmdRuCG/TX42WbiC9G2iW1CeZPkTvi7uLnU95T8a+l/BDYK+nYHn4JPIzfzGfi7f4kvjL6vJR/h/uGmY0CvoH3t3mebM3s2/gF5594HcxI6Z8HDLJ5F5J0Fd/FDfBxBToOxxd/XIOPos3Az6P/ABcAP+kMBczsBnw6wy24u2cmfiEfga92/00TaZ2F990H8P41M+l+FbClmTW6GKxhzOyPeFu+gs8DfAaf7pC720tu8LPxVdWj8D41HNiF8mT9nsaCpm8x6gUf3w/2/jt8aywcPhq+8Cf42I714wYLGlfI38F8Kj74siF+vb4lk6l8d6LwB6YL8HP3YDMruaZL8xxHJu/B9sA/8Ovg0vgD2I/w+97l+LVmK3wUcnDykK2FG57tGmEsvcMuCBYJJA0DDk1/1zF35wXBAo+kFfHXNT1qvrBKeF+/Cr8R/cvMtu1OHbuTQYMG2YgRI7pbjaCHIekJMxtUX7LpdE/GR/pWwR/aHsHf3PBKO9P7Nj7/cBq+nuB1fFDoDfxh/0j87R7fxL1Dv2buNwosjb9V4w5gEzN7tlkdYpV0EATBwsHH8BGHaZJG4+80XDodm4iPXgdBMB9IXoZaK/ubpTTCuD3uAXkrudSR9BI+Cv8C/naTf+ILQI/FPWRTzWyGpE1wD82LtINwSQdBECwcjMankLyLr6zsjbunLwM2M7N/14gbBEHPZmPgNTMbYWZv2tzu4Wdwt/aPU3gr/gB5AP7Q+J8ktwnwgs39NoaGCZd0EARBsNATLumgiK5ySS+MxAhjEARBEARBUJMwGIMgCIIgCIKahMEYBEEQBEEQ1CQMxiAIgiAIgiJ6yapuVUhf5HpRkkm6MIVtJ+k/kqZJelLSlvOvEJ1DGIxBEARBEARFLF5jq86pZJ/klNQHf2H3MsDxwADg5vR9+QWGMBiDIAiCIAiKaNJglLQpbhQOzYJ3x43Ei8zsIuBKYB3806oLDPHi7iAIgiAIgiK+dQQMPrL8/6XnYf2NSv+OxN9zCoCkXsAVwO+Bx7NU1km/o9LvW+l3XfyztgsEYTAGQRAEQRAU8cfLfStinF1WEXIY/k3nb+EvyQb/dnPvCjml3wXqRdhhMAZBEARBEBTRnJW0Jv6VpWeysIOB19J+aV7j6un39Y6oNr8JgzEIgiAIgqCI5qykm4Bn0/7G+DzGu4EzgFuBoyV9BHwTaMM/4bfAEAZjEARBEPQEpr4AE26DWR9Ar6Vh6c/DUp/tbq0WbZpYx2xmzwHPAUgak4JfNbNHJO2Pz208D/gfcISZzepcZbuWWCUddBuSBksaKmlowbGW9A4rKzoeOJIGZvU0rJ1p7FNqB0nLd3b63YGkL0p6TNL4TP/NOyHdoVl6LR1WdN70o98vikx5Cl7bFV7eCN77CYw5B0YPhde2g5e3gAl3dreGiy7te60OZtZqZjKzY9P/h8xsEzNbwsy2MLMF7sPmMcIYdCeDgZ3S/tDuU2ORZx/g0LQ/DPiwuxTpDCStiLt/+na3LkFQl0kPQduXYPak4uNTn4Y39oQ1roIVDi2WCbqOsJLmEFUR9EjMrJXySrIehaQ+Zja1u/WYH5hZGz20HWqwEWVj8SrgyM5y/ZjZUJp4uFkQ+sqCoONCy8wP4I19qhuLc5gNb30L+mwOfTebD4oFcwgraQ7hkl5IkDQsc2V9VtK1ksZJGivpZkmrVsj3kXSKpP9KmixpkqTHJR1ekPb6ku5Jcu9IOkvSEUWuM0nHSBou6W1JUyVNkfSCpLMlLZNkBkoyyqOLZGlZ+j+Pa07SX9L/WZI+lsXtlfIzSW2SlMLXkHSxpNclTU/1cZekHRus07YszR0kPSppCnBJJnOgpIeS63OapJcknSmpX0Vay0i6POkwQdKfJG2TlbG1SlsOrBdeRfcDJN0n6c3UbtMkvSbpEkkD8nqnPLoI8HqeRy2XdKqTv0p6X9IMSe9KulH+4tpcrqm+WaNMm0q6IfXBGZLGSLpd0g55XsDDWbTDgZmlflUl3aeSbh9KWjILXz71YZP0UAordEnn7Sh38T8taTrw43T8YvnnwEp19ZGkf0s6utRfm6WybSQdJun51NYvShpcIZ+3ww6p7scDz2cyDbVpkt0ytcco+fk1RtKDkrbOZBq6zsjP4R8nufHy68ZISXdI+nImt5mkW1Oe01IfelLSpZIqX13S8xl3Ncwa16DwTBh7fpeqExTQTpf0QomZxbYQbLgr0dI2LtsvbX/PZPsBjxXIlLYLM9mVgXcKZEZl+0Mz+btrpPtAkhlYQ8aSTEtl+sBeWdjxWZ67FMhuALxfJY9ZwAEN1Glbkp8ETMniD0vHL6hRjseBvklOwH116rC1SlsOrBVeUZfDMtlLauj2ArBEkqvaDintaukfnOqxKN5UoKU9fbNGW+yc0q3WngcV5DVPv6qS9vcyuX2z8MOz8MEpbGgWlpexFPZBRb2U+mM13Q0YkqXTUhm3ht5521Tr64dXaYcx2X5bO9p0X2BGFdlSXTVznflRDblzsvSqldOApWvV11ZbbWU9jhfWM/sPjW//7Ws2c3x3a71QAYywWtefTbGqWw+498/PLUYYF05eBz4OrA+MTmG7Slot7X8P2CbtHwssjRuGN6WwY1T+MPpxQGkE6G9JbhDV146dC2wOrIi/rHQN3IgE2FnS5mbWZmYChpcimU8OVgqvxp3Au2n/wCy8tG/4TRF8JVp/YDxubPQB1sONpV7AhZKWqJFXTj/gIfyt/EsDZ0raFq87Up6rJrkfpbBBwNFp/3NpA2+bTwIfo/xurq7geryN++PtMAC4Oh3bAPgSeL0Df8jirZO1RVtRwpKWwo3lXsBM3HhYFjgqiSwJXFpFr3p9sxqXpnTB63VZfO7lzKTHBZKWMrPBeHuXOK2BfnUtMC3tF/Wrj4A/19GvxArAdXj7Lk+5Px6O979lgCWATSl/7eH77R1lzOiPjxQvCxyUhZ9VZeRtAvAZ3HX/pWbaVFJf4HLKYyyn4v2rP7A/5X7dzHWmNOrfhl8z+gKfwOc5P5aObZTyADgRP6dXBrYHzkp6LzjYDJj+cpNxpsD017tGn6CYGGGcwyJY5EWCU83sNQBJ/wD2S+Fr46OFe2ayF6atkt2AJ4Fds7BTzGwMMEbSlcBPCuK9DwwBtsUv5pV9bAPg6WYKU8LMZkr6I26UDZL0CWAk8JUk8oCZtaUbWslAWw54sCC5/sCWlG9G9TjMzN5O+y9XuPsGp62S3YDfMncdnm9mzwNIOh24t8H8m+Ud/Ea+E27MVhoNG3Qg7e1wYwjgTjP7S9q/VNJR+APD+pI+YWavVMSt1zfnQdL6uLEF8B8zK00J+D9Jd+CG4wq4AfT3ZgtjZh9I+itu7OwhnzqxFOXvvN5kZvUmmZUYDxxlZpOz/+Ajd1fghuJyzD0daAVgFeC9ZnXPeNTMrkn710s6BvhsSndT4IkK+VPMrNT3n5O0Gw22KT6yuVI63mpmP8/SvTnbb+Y6U7KCPgb8DPgP/nqSP2d1+SZuFC4OfA03Kl8AnjSzomsRko7EP9/GgAEDaG1tLRLrFnoxnR1Xqi9XyYgR/2Jiw27soMOElTSHqIqFkxez/fxG1yf9rtJAGqVLWf8sbGSVfQAkrQv8g9qrUzu6cvUqyqN4B+Jv1F8h/b8y/a5IY2/PavRyPTozFkt0SR3WoaHzVdJy+Dy+Wjp2pB1WzvYry/AGblyQ8q80GOv1zfbkV6KRNqnGVbjB2AcfXVuBch+6slqkAl7MDBwAJH0NuKFOvI6eF5X1MhI3GGHu/lfiqYr/zbTpgOzYczV0auYcOR0fed8F+HZ2fKKkY8zsGjMbnYzXX+IPe6XRSSQ9DHzZzCbkiZvZZaRv/Q4aNMhaWloaUGk+8vyqMPPd+nJzWIxBn9kXFl+5vmjQOYSVNIdwSS+czMj2reD46Gx/jdwdnLnvTkzHx2Syq2f7axakuxflG9+1wIoprd9W0bNIt5qY2QuURwW/njbwV8HclvZL88gAXq5Svl5m9rcGs51SEJbX4UFV8ihN/m+mDqHsHoW5Dal1G9R3Z8o36/uB1ZI+36si32w7vJ/tr1VxLP8/mnmp1zc7O79GuZeyizjvVy+Y2T+bSKeor3wt2/8uPrdV+MhaZ1GrXsYwL5V6NlPH+UjoRjV0avg6Y2ZjzOxzuOG6M+4KfwF3Y18sabEkdyU+Yr4JPjpdWgWyPXBMDV16Jit8szn5ZfcKY3F+s1iNbREjDMZFkzuy/SslrZdWM64v6eD0tL52On5/JjtU0opp3tG3CtLN5xBNBqZK+gzwjSp6jC3tqLmXKl+Vfjek7NK83tKrQcxsSqb3epJ+JWkV+UrlzST9oKJc7SGvwzMkbZfqcE1Ju0u6nvJcsjyvY1N9r4a77ovIR832BJC0N+5ybYS8HaYCkyRtjBsrRYzN9jdrYD7dI/jiFYDdJe0laWlJRwBbpPAXC9zR7cLMXgJeSn83lXRkym9PYI8UPg5oxrCrzGM2UHLpfp7y3LurimM0Rd4eEwBJOoxyXXUGn03n7tKSDqQ8ujgad+/Wo5k2fYRyn9lZ0k8krSxpBfkK8dJ8xIavM/K3LhyGewf+jc8ZLfWffkB/Sf0lnYOfB6OB24H/y/KoNHR7Pit+GxqeSg2sVO0UDrqMmMM4hzAYF03OA0pvmf8CfjOegrsL/4jPUStxLuWFJl/BbxRPALMzmdJI0V24gQI+b2gy8CjlG1El+fzB0qtNWhvQ/8aUNpRP28ob+3H4SCO4C/s9/Gb9NPAbGh+tKySNOl2c/q6Du4Cn4O68O/ERqpJuf6c8t259vL7fxhd/zEky2/8TZSPjV5ImAH+hXOZ6PEJ5xOjLeLmfrS4+Vzv8BZgtqa2acJrP9128D/TGb9ofkVx/+AjpUcWx281RlEdeL035/TXlPxv4bhPzDKtxFd4OpbGDmZSNyI5wW7b/B7wdf4+vku8s3sHP3Y/wRTclTjazGcVRyjTTpumB7AjKffRM3ID7AC9r6dxq5jqzDV7/L+FTFcZSfhh42szew0fbT8CnvbwHTGfuh7F76pWzx7HEmrD6VTR0K175p7D0zvXlgs4lDMY5hMG4CJLmWO0InILPAZyMX8hfwy/4h+MGDWb2Pj75/z7cGHwPn0N0QZbk2CT7Ku6WfirJvg58B1+xW8Tv8de/lF7b06j+HzH35Pr/mNkTFTLP4/OuLk7lmo4vQHgOn5PWYYPGzL6Dv4pkeEp7Bu7WfBB3td2V5AwfCb0iyZVW3R6ZJTc2S/dVfB7df/F6fAevx4ZW6prZOGB33IidjLflULzdirgFv+mPpOzKr5fHdXi/uCPpPhPvGzcBW5u/eL3TMLMHcRf/n/AHmJm4gfI3/HUv19WI3mger+LGSIk7k6HS0XSvA47Hz4epuBG1O/BqR9POuBcf0X4e7+sv4wu1Gh4hbaZNzew23Mi7Ee9fpfYYTprX2Mx1Bv8yz634KunJKb2R+Dmze5IZB/wOf2XVGLyvfoQ/lB6YLdRZsFjhIFjrZuhdZYZKr+Vhtd/CqmfMV7WCRBiMc5Dfy4KgOpJ2AZ4ws/Hp/3q4MfRx3ND7lPlH14MqJDf+GDMbmf6vgL/mZu8kcnS2+jcI6iJ/eXtpdfEf0iuFgioMGjTIRozowZ/vtVkw4a8w4VaY9QH0WhqW3g2WPxB6xVcuuwpJT5jZoKoCe1Z/6T+313xd10LHImgjB+3gV8AWkt7HX0K9MuXPxZ0TxmJDHAicIOlD3OU2gPL59zCdM1cuCIIFFS0Gy+3rW9BzCCtpDlEVQSP8GZ/XtQ7+frox+DzGy5JrKqjPcPxl3hvjxuJk3H34J+D3Zja9G3ULgiAIiggraQ5RFUFdzOxs4Ozu1mNBxsxux1d1BkGnkL7Es0i5xIJgvhNW0hyiKoIgCIIgCIoIK2kOURVBEARBEARFLIIv6K5GGIxBEARBEARFhJU0h6iKIAiCIAiCIsJKmkNURRAEQRAEQRFhJc0hqiIIgiAIgqCImMM4hzAYgyAIgiAIiggraQ5RFUEQBEEQBEWElTSHXt2tQBAEQRAEQY9k8RpbAZL+JekjSZMljZC0YwrfTtJ/JE2T9KSkLedPATqPMBiDIAiCIAiKWKzGVsyjwPeAnwObA1dI6gPcAiwDHI9/HvZmSQvUDMkwGIMgCIIgCIpocoQR+AH+Gdj7gWnAbGB33Ei8yMwuAq4E1gFauk7xzie880EQBEEwv5j1Gky7GGbcDzYFeq0CS3wdljwYtHR3axdU0ryVtBzwftr/EPgWsHX6Pyr9vpV+18UNywWChkYYJQ2TZGkb2J6MJG0uaWjaNm9PGk3k1U/SxZLelDQz6f2XrswzCHIktVaeM5IGZmHD2pnuPtl5tHwnqlxKf3Cm49BOSrPD14+uoqK8g7PwthTW1n3adR2pL5b6UUvB8Tn9d/5rt5Bis2DSd2H8J2DqOTDrKZj9Asx8CCYfDR+uAdP/r7u1DCrZ6gg4/PHytvc15X04siDGRGA33C3dBzi9QEbpd4E6v+bnCOPmwJC03wY83YV5nQoc1YXpB0F3sQ9waNofhj/BBkGzDKR8PQZo7R41FiEmHQnTr6p+3MbDxP1g6b/AEnvMN7WCOjx7uW9FnGCXVQaZ2UzgPuA+Sf8P2Bm4OB1eI/2unn5f71Rdu5iGDEYzGwwM7lJNOgFJfcxsKrBVFryOmbV1UT5B0DCpH6qe3MLGgnL9yDGzgd2tQ7AQMWN4bWNxDrNg0lHQuw0UM8Z6BE00g6QvAF/FF76sCXwWeA+4AxgNHC3pI+Cb+MBZa6fq2sW02yVd6V6T9A1Jz0qaIul5SYdm8VuBq7Mkr67iBjpQ0kOSxqel5y9JOlNSvwp9SnFbk4vuaUnTgUuSC+VzmfjruXtNUi9Jx0h6XNLEpO9/Jf1QKp+hBeU7UtILkmYAX0syS0k6TdL/UjqTJT0l6Qd10qpaVw20xTKSLpc0TtIESX+StE1eJ5nsrpLuSO61iZKmJzf9tZI+UZFu7kLdMcWbLOl1Sd+Sc2KK/6Gk2yWtkcXPy9gqab9UX1MkDZe0oaTVJN2SdHlD0qmSerVH3xr102E9UjobSfqjpFFJj9GSbpa0aUGeh0t6WdLU1P5faEC3YVn4AZLuS2WdLO/7r0m6RNKATM4ojy5CuW/n52UfSafI+/RkSZPkff3wAn02lHRvqpt3JJ0J9G6knrM0jpC/OuKDpPeoVJb8/C90Sad2uEn+Coqxki6VtGeVOsrT+GzqE+NSvJslrZrJLi3pD6kOxkqakfrsQ5IOaLBc87ikNbf7+kj5tenN1I8elbR1RRq9JZ0t6d3UDndLWi9Lo60y3wI98vNyQ0l3pfw+kHSZpGUz2bUk3Zj6+7hU7jGS7pH0+bwugQezbIZkeQwt0GFdSbemdnpX0hWlfOXX07Ep7iNZnJ+nsFlKUyfkrxUp5fOTFFb3nJdPZyrFu7hCt+9mx75erz67jWkXNS5ro2BGuKZ7DM0tevkA2Aa4EDgOeBjY08ymAPvj7urzcONxfzOb1bXKdzJmVnfDXV+WtoEpbGAWNi7bz7ftk2xrleMGDE4yF9SQeRzom+lTCv8AmJX9H1YjjaG4gfyXGjK3Ayoo35hKnYGlgCdqpHUn0KvZuqrTDsKHuivjjsr2WzP5H9fQbzTQP5PN2+j9Avn/Kwh7KIufl3FsRbsY8ArwbEEah7dH3xp11Bl6bA9MrqLHFGCHTHZwgcyMpG+tc2ZYlsYlNcr9ArBERb8v2gYC/YDHashcmOW5Cv7kWynzdrY/tE5d718jr5vrXD/6VGmHvC8Pq5JG0Tn090x21Tp1dWiV9huchbelsLYqskU6jAWWy+SvLJB5K9tvq1W/DZ6XD1K+zmxbo8yzgJ0L6rJyG1qQ77sFcldkOt6awqaRrtMV8b+cwk7Owj7TzDmfpTcBWDrL+5Gs7pesVZdbbbWVdQuzZ5uNXcJsLI1vH329e3RdBAFGWK3z8BKs6taA/bQwbZ31Wp3lge+k37Oz8EMAzKwFOCwLP8zMlLZhkrYFjk3HhuEX/H7Aj1LYIODognxXAK4DPpbyHmpmAoaXBLJ8huJDxXunQ2cBKwLLAuemsD2AfQvyWQn4JdAfv9Heiz89lF68eQ+wGr7i6ckUtjtpJLKC5alRV3X4HOXR09eBT+Jlf62K/H3Ajvhy/t54ec9Mx1YGDq4S75l0/LgsbC+8DVYA/p3CdpC0OvOyIj7hd3ngnyns4+n/RvgTmKXwfFSgvfpWo716XA70Bd7ApzcsCWyB37D7AL8HH13J9AP4Bt6fTkz6Nsr1SZf+eLkHUB6R3wD4EnhfBv6QxVsn699tqazbpGPHAksnPW5KYceo/LLY4/G+DP4Q1R/vz824zHdMvxOTnksCa+Pn2d114h4CbJz2R+Dum/Vxg6Aer+PtuD5uVADsKmm1tP8RcABlI7oP7hqanI4f30AejdCCXxta0/8VSW0laX2gNKo7DvhMkv0n7edhvM02BF7MdChNeHsDv76tgZd5KWDPdKwX8H0A8ykCO2fpnlZxnazkGfz6tg1uFAIcLKnUVx5Iv0sAW0taAl8VOjuF75B+S/3lI3wQABo/589Nv8sABwFIWhOvV4A/mllJtx7GJGB6c1Hsw65QJGgPzb9WZ6Gls4r8hJldDCDpWuCkFL52g/H3zPYHUzzfaTfgtxVh44GjzGxy9r/RfE5OW1E+t1aEvQj8JD2NACDpy3laZvZuCj8dvwGD3zyur0irI3W1a7Z/vpk9n+V5b4H8KHwB0G74TWTJiuMbVMnnl2Y2RlKe5ltmdknK737KrwlYi/KrAnLZklH1D8oX9avN7IUU/i5+E1qrE/StRtN6SFoPvyGDt8kTBeluklygK+AGO8BTZvbHtP87ScfjRlAjvIOXeyf8YanSLdxoufP+fWHaKtkNf6jZJQsbYmZjgbGSrgBOaTC/19PvUinOE8DzwL1mVu9czPvymWb2FoCk3wLzTCSv4FQzey3J/wPYL4WvjdflZNwA/hP+YLAMcxvCzfajIq40s+FJh1sov0+tdB7n9XuNmT2WZH8C/L925nmimb0PvC/pN5Tr6fPAX/FRtk3wVZmfwNslp73lPiFd396V9Czlh6gB+OjjA5ns9sBM/IHrFuAr+IPlYrjRDvAP84UB0Pg5/1fgVfxB4SjgUvyBvNSuVxQpLulI0krWAQMG0Nra2ky5O4nZ7LRJL6TZ9UUTo9+fwnNPtHadSkHjLFCv1u5aOstgfDHbn5Tt92kw/ir1RVipKN/MWOzKfJ7JjcVEPoI0Mtt/o05+NetKPsfrdeZmeBql7V8lz5FUkEa/7sdHIavRt0p4W/qdkoXl5coflysv8JWy9dJYEprTV/4akAcrjv0hjZx0SA8a6yPg/WSF7P9bFcdH0YDBKGk5yiNH1ajWTpU007/zfv5Wlf16XIS7Qb+CjxiWRsmnSRpqZr+sEbfhvlxAvevNSbgHoRqNXpc6okNHyleNaumU8jof+HaN+I32o0pqltXMnksPXqvio4mleVn/hxvsg/CHtdJ8yweguXPezGZLugAfadxc0jaUPTj/MrNniyKb2WUkw3rQoEHW0tJSp6hdxEd7wIy/Niy+yurfYpV1W7pOn6BxFsGRxGp0lkt6RrZfaVjVC4eyWwngoMw9MmejPKKVM6UgrBZ5PttVyeerDebzfra/VpX9PL8SjdRVNcZk+7kruMgw2ZTyhfh/uHuuF+5arsfMBsOaiV8vjY7o25l65G12X5U+0svM/sfc7bHG3MlQ5KovYmfKht79wGopj+9VkW/0PFqjiu4npuPVdK8sR1XMbKqZfRV3I26Pu2D/hRvfv6gyXaFEM325knrnUD4VZB98bpvwEbjOop4OHSlfNapdZ0p5lco9DR/N603ZSKuk4WuPmTVyzWpNv5+lPNr6D+Ah3FX9o0y29LDX7Dl/FeUpC2dTnhJU5Z0nPYglv9O4rFaGJfbvOl2C5giX9Bzm56cB84v1p6S53hlwR7Z/RlpN10fSmpJ2l3Q9ad5KB8nzOV/SZimfdSV9RdIdlOfZNJPWmZIGpNHBU7PwvzWroJm1FdzoW9Lh/I3wx6YVl6sx9/vUSuRG0TR8ntlaFLvhewIN62tmrQV1NLgzlDCzl4GX0t/PSzpO0vJpGyTpVODGdPwlfJEIwBaSDpGvYm/GHZ2XeyowSdLGwHeryOfn0WbZPDKYu09emfpHH0nrSzpY0sOUXab5CO1pklaStAX+VYKGkK9APxY3iJ4B/px+wV2FtYzPvC+fJOljaVXsCY3mX4O8Tj8Eekv6GcXeg64id9MeImkrSSsCv+hAmr+U1D/Nj8zr6b70Wyr3bLzcSwG/rpJW3o82SvMOO0KpvMvgLvK30rzaf6Tw0nSJcZTfwdvUNcrMPsKNRvDpG6Q4f+qY6vOB3rtB70ZmIgj6nQcdbo6g0wiDcQ7z02B8irL77wRgRnoVwkAz+yflF1uug7vopuBulzvxBQmd0Tx/omzEbYVfuKbgc2NuAb5M45P+z2PuBS7v4q7k0jsg76LzL2R/Txv4hP+SwfLxTKY0AvACPp8M/El8DO5qzl1lPYmepO+RuPEG8Dv8JjcOn6h/Gj53CzObDfw0i3cNPgJyTpJvhEcoj1Z/OcUvdK8lHsv2/wLMVvn1LOfhC0gAvoD3jym4S/GPwHZZ3N9RHpHcB6/vJ2nuPNsIf7vBc/hCho8of/ngHeA/NeL+ER9VIuk1CngZ/6xWiWZH4Evclu234kbF95iPLzk3s5coGzcr4+0yFh+JnSPWZLLb4n3lRcpz+1opPyiUyt0Xb5MPmXsuZc4rlEcmv4pPIzAVfPWlQXIDuRdlQ/Gh9Fu6rram8wbad86fT3kxDcCNZjaxnTrPPyRY+lpY4sAaQkvCUlfDkj337UCLJIvV2BYx5pvBaGaj8FWkz1FeaZcf/w6+Im44vnhlBj6f6kHcjXZXJ+gwG19FeCzuOpuYdHkDX9V5LGUjsF5ak/DRyNPxi9403Mh4GvghsFd2YewU0jzK/fAJ3uPxG/SfmfvzRGOT7EzctXNXkhuDX2yruTq7lZ6kb1rMsBVuAL6F98UPcAPoAuAnmeww/CWsr+IPRP/F5/TVMpbyvMbhDxwP44s13sZfAVVt/t8t+CrSkZTnipXSmoz3yVPwkb7JuMH4Gm5MHJ7Sx8xG467Dv+P9djS+qKzRBS/go4TX48bHxKTPO/gI7E7m7x4rxPzF958HbsbnxY3D55rlBnh7Xchn4yN5o/DyD8cNp3oLcTqbo/ARvveTHvdQXqADzZdvR/yBdxJuDF4B7J1dZ47HX9E0OsncwdzvpJ1Dqv8D8IVKzcwDL8TMXmXuucEPp/C3KM+JhsywbM85b2av43MjS/R8d3QJLQlLXwfLPgFLfhN6re3u58U+BX1/AcuPhCUP7W4tg0pihHEOpXcOBgsI6bUoY8xsZPq/Av4KltLrgo4urWYOgp6MpO2Al5PxSppecSs+kgawu5nVez1Pj0XSRsBsM3sx/e8H/IbyZ0vPNrMf10mjleR+TfMwF2nSautWfKT2KTPbsnaMMoMGDbIRI0bUFwwWKSQ9YWaDqgrcVeN76rsvWufkImgjL/AcCJwg6UN8FGEA5XZ8mLIbLAh6OscD+0kai4/ODqDs9bhpQTYWE7sCF8g/BfYhXr7S5LQXgF91k14LJJJewN3VpbmoQ7tPm2CRIaykOczPOYxB5zA8bTPxG9Bk3L3+A2BXM2vyDbFB0G3cifdd4SvFx+N9+5sUv/R+QeNJ3A09GX/lzAx8yspQYGsz+6DbNFsw2QB/lVUb7klp/D01QdBeYg7jHMIlHQRBECz0hEs6KKKuS/qhGi7pHcMlHQRBEARBEISVNIeoiiAIgiAIgiLCSppDVEUQBEEQBEERYSXNIaoiCIIgCIKgiEVwcUs1wmAMgiAIgiAoIqykOURVBEEQBEEQFBFW0hyiKoIgCIIgCIoIK2kOURVBEARBEARFxBzGOYTBGARBEARBUERYSXOIqgiCIAiCnsTskWDvgXqD1gUt290aLbqElTSHqIogCIIg6G5sOsy6CWZeBLP/mR3oC4t9DXofA7226jb1FlnCSppDr+5WoCuQNFjSUElDC461SLK0zXM8cCQNzOppWDvT2KfUDpKW7+z0uwNJX5T0mKTxmf6bd0K6Q7P0Wjqs6LzpR79fiJHUWmrfLGy+tHk6l0vneUsjugUV2BiYthNMP6TCWASYArOuhqmDYMaZ3aLeIs1iNbZFjIXVdh4M7JT2h3afGos8+wCHpv1hwIfdpUhnIGlF4Fagb3frEgQ9iIHAkOx/a/eosYBik2Hal2D24/VlZ5wCLAm9f9jlagWJJqwkSesBlwGbAksAjwFHmdmrkrYDLgY2AP4HfMvMnux0fbuQhdVgrIqZtQLqbj2KkNTHzKZ2tx7zAzNro4e2Qw02omwsXgUcaWazOiNhMxtKEw83i1JfWRjojvbqKdc6M2vpbh16NDMvbMxYLDHjZFj8INBqXadTUKY5K2l13HM7BFgf+C5whaTdgVuAKcDxwE+BmyWt11n3kPmCmdXc8JEhS9tngWuBccBY4GZg1Qr5PsApwH+BycAk4HHg8IK01wfuSXLvAGcBR2T5Dc1kjwGGA28DU/GKfwE4G1gmyQzM4s6zJZmWyvSBv6T/s4CPZXn2SvkZ0AYoha+BPym8DkxP9XEXsGO9+kzx27I0dwAeTeUZlskcCDwEjAemAS8BZwL9KtJaBrg86TAB+BOwTVbG1iptObBWeEVd5nodANwHvJnabRrwGnAJMCCTq9oOKe3C9FPcHYC/Au8DM4B3gRuBTTvSN2u0x6bADXgfnAGMAW4HdqiS1zz9qkq6TyWZD4Els/Dl8T5swEMpbGiWZktBPbbiI7ZP432u1HcvBp7M6uoj4N/A0aT+Wq3f16mT1YCbUnpjgUuBPWu02bbAbcB7SY+3U50NrJBrzdLYMLXzR6mNrwCWrZDvD/wOeAXvax8B/wQOq5DLyzcM+A5+fk1Kbbka/mT/9xT2MvDtgnI3VI4qdTawQocj8WvUDGBwM9fHivKcBpyIX2+mpT7wpWr12kibAzsD/5fKOT393gV8PB1fCz/nXsDPqdJ5cQ/w+UbOC8p9dB7dOtC2pwEnpDiTU13s3sh5vtVWW1mPY/Yss8nrmE2iuW360O7WfKEBGGG1+s50rOo27zVgiYr/Y4HRwL6p//4ohZ+e/u9aM+8ettUXmPuCMK7govD3TLYfPgRb7QJyYSa7Mn6DrpQZVXSRA+6uke4DNu8Fu/DGXnQRBfbKwo7P8tylQHYD/OZclMcs4IAG6rQtyU/CDcW5bsLABTXK8TjQN8kJN95q1WFrlbYcWCuc6gbjJTV0e4F0wtRqB2oYjMDBqR6L4k1lbmMq17tm36zRFjtTNt6K2vOggrzm6VdV0v5eJrdvFn54Fj44hQ3NwvIylsI+qKiXUn+sprsBQ7J0Wirj1tC7D/BsQXp5v8rb7KvAzCo6jAU2yGRb67TZFZnsqpTPlaLt0irlKzo//0354S/fdmlPOarU28BMfkxF/ME0d32sV56ZzG24zanXem2Oj3rMrqJDS5LZtoaes4Cd650X1DAYO9C2RX1mOrBuvXO9RxqMM+9v3lichNnktbtb84UG6hmMs7GqW+3rwaDUP28GfpD2D0zHjkz/j6iZdw/bml308jrwcXxkcHQK21WaMzb+PXx0C+BYYGncMLwphR0jacu0f1y6aAD8LckNovpU0nOBzYEVgd74KN/d6djOkjY3szYzEz4SCYCZqbTVKNed+AgH+MgeFfuGXxgBzsOfjMfjxkYfYD3cWOoFXChpiRp55fTDRxHXxevqTEnb4nVHynPVJPejFDYIHz0C+FzawNvmk8DH8BG/ruJ6vI374+0wALg6HdsA+BJ4vQN/yOKtk7VFW1HCkpbCjeVe+A1xX2BZ4KgksiQ+0lVEvb5ZjUtTuuD1uiw+kjcz6XGBpKXMbDDe3iVOa6BfXYuPnEBxv/oI+HMd/UqsAFyHt+/ylPvj4Xj/WwafM7Mp8FY69n1J7XFJHgJsnPZHAGvi9TqhUlBSP3yUczF8pHNDvD53xm/kKwK/rpLPv/GRv20o19PBmc4/B9ZO+8OAlYDNgDdS2JGSPluQ7kp4G66M9wuAT+OG1xrA/pns1zuhHEWsBPwSP09WAe6luetjztL4ebUscFIKWwz3rjSFpDWAc/CHzZnAt/G+tRrel95Pom8Ae+P11QdYCh9hBj8vvg9Q67wwn2ZRjfa27VLAV/Bz4LoU1hv3fCx42Bv1ZQrjvQk2u3N1CYqRfRvZE9l27Zx9N/zmjSJtgI/gt+EPaPOIpF/rEp27iGbnMJ5qZq8BSPoHsF8KXxsfLdwzk70wbZXshl+Qd83CTjGzMcAYSVcCPymI9z4+L2Bb/CJbqfsGuHuiacxspqQ/4kbZIEmfAEbiFybwEcw2SX0pG2jLAQ8WJNcf2BIfSWiEw8zs7bT/sqTB2bHBaatkN+C3zF2H55vZ8wCSTsdvUF3BO8Cp+KKiVfGLdc4GHUh7O/xGAHCnmf0l7V8q6Sj8gWF9SZ8ws1cq4tbrm/MgaX3c2AL4j5ldkvb/T9IduNGxAvAZ3JXZFGb2gaS/4gbKHpKWwW94LUnkJjOb1GBy4/HJ05Oz/+CjPVfghuJyzP3mgxVwY+W9JlXP+9WZZvYWgKTf4hO6c7bDjSnwfv9CQXqfr5LPCWb2LvCupGeBrXAjbQD+APflCtkPgA8k/Q5/gAQ3pB6tSPdRM/u/pPPjwDop/HwzG5XapMRanVCOIl4EfpJGMEi6NHN9zLnVzO5KafwavwGtAWwhaSUzG9uEXl/EHywArjWzvD2vzvbHApvgrrNP4P02pyPnObS/bf9qZrcBSLoROCiFr00Bko4k3dQHDBhAa2trB9XuXFbt/wIbrtt8PDMYPnw4PWCK6qLAZcx73auKpE8CD+APwbuY2TuSSg+ua6Tf1dPv65XxezLNGowvZvv5ja5P+l2lgTRWSr/9s7CRVfYBkLQu8A9qr07t6MrVqyiP4h0IPIPfcAGuTL8r0thi+pXqiwAwOjMWS3RJHdahoX4gaTngYWrr2JF2WDnbryzDG7jBSMq/0mCs1zfbk1+JRtqkGlfhBmMffMR0Bcp96MpqkQp4MTMWAZD0NXzuZS3a0x7N9KtG6qZPGqWtNI7rtVmpfSYmg6JEvbZpy/anVMYzs+nZwGtpdLkj5SjimdxYbCKPomvHnHo3M5P0FuUbT3/cuGuUAdn+czXkzsdHH6vR0ette9u2qfM8GcSXAQwaNMhaWlqa17QrmQVM+1XT0dRrLVpadq4vGMxXJK2JT8FYEZ+rvI2kbfB1EqOBoyV9BHwTv061doee7aVZl/SMbL9oKHV0tr9G7g7O3HcnpuNjMtnVs/01C9Ldi/IF6lpgxZTWb6vo2fQwr5m9QHlU8OtpA1+wcFvaL80jA3i5Svl6mdnfGsx2SkFYXocHVclj63S8mTqEstsP5r7ANvqMuzPli/j9wGpJn+9VkW+2Hd7P9teqOJb/H8281OubnZ1fo9xL2UWc96sXzKzyhWu1KOorX8v2v4vPbRXzjlA1SzP9Kq+by2ucE/MYWWZWr81K7bO0pBWy8HptM7MgrFZ4ZTpNlaMK9c7tetfHnDnlTe76NbJjY+YVr0k+2rxRDblS35qGLyjrjbvEi2iPW629bdue87zn0msn0Mebj7f44Z2vS9AZfBx/GFoMX8R7A3CD+RsS9gcm4tPaRgP724K0QprOf3H3Hdn+lZLWk9RH0vqSDpb0MGXXwf2Z7FBJK6b5O98qSDe/0E8Gpkr6DPCNKnrMeeJu8qXKV6XfDSm7NK9PjY2ZTcn0Xk/SryStImkZSZtJ+kFFudpDXodnSNou1eGaknaXdD1lN0ye17Gpvldj7nei5eRP73sCSNobd7k2Qt4OU4FJkjameI4GzD3ysVkD8+kewSe1A+wuaS9JS0s6Atgihb9Y4I5uF2b2Er76HGBTSUem/PYE9kjh4/CVm+3NYzZwTfr7ecpz2K4qjtEUeXtMwO2JwyjXVXvJ+9VJkj6WpmmcUCD7KOU2O1TSgel8WDn13V9TdjE2S34unCNpBUmfwl9LUaLRh7N6dGU5SjRzfczZV9JuaUrDjygbjE816Y4Gn/c9Pe0fIumbkpZP17FvpPMZyn1rNv7QvBTV53DmOmzU4Bzu+dm2PRcJFj+qvtxc9IbFj+gSdYKOYWatVR4EMbOHzGwTM1vCzLYwsxHdrW/T1FsVQ2Mra0sr6/rhq3irrXybkwbVV0nnKxmHJNmPM/dq4tL2UrY/ONPthwWyrVZntSi+cGBSRbytKmQ2wi+Q1crX1kCdttWSBS6qU4eDk1y1VdJ5HT6Ypftx/Am9dGxC+s3LXGqfgVnYsBS2Av5kVKsdhmb5/b9q9VOUfgo/iPatkq7ZN2u0RUOrpOv1nTp5fJy5V6XOIHsFUZIZWqRzFtZakO5BBTpPxl95VNmeDetO9VXSeb+6OpP/eo02q2zf1lJ4RZ6tzKtzvZW0l1Rpmzy/wr5QVK/NlKNKvQ2sJUtz18e8PKMK5DqySvp71F8lfXnBsfw8b8vS60PxSu6WGrq1t22HVgmv2TZmPXSVtJnZ7MlmU7Zt4pU6v+tujRcqqLdKOrY5W6eOMJrPsdoR990/g9+8puCrdm/DV+G9nWTfTyf8ffgN+z18VeEFWZJjk+yruFv6qST7Ov6eteurqPJ7/PUvJYO0Uf0/wpfAl/iPmT1RIfM8Ppfu4lSu6fgChOfwOWnNPi4W6fEd/PUyw1PaM3C35oO4y+quJGf4SOgVSa606jZfuTU2S/dVfB7df/F6fAevx4ZW6prZOGB3fB7jZLwth+LtVsQt+LsjR1J25dfL4zq8X9yRdJ+J942bgK3NX0bcaZjZg7iL/0/4QouZ+NSDv+E3vOtqRG80j1fxObgl7jSzZheiFKV7HT4i8zreniPw9nm1g+lOxUdDb8YfJsbh88B+monl/eoGYHu8vd/D6/D9pM/ZwG/aqce7+FsBzsXLNB136TyGv7eww+daRX5dUo4s/YavjxVcTrmdpwP/AfY2s/vaqcf5+MKm2/HyzcQfBO/BHzZI+V2Swifh5+Pn5kmMOf3lAOCJVKZGdJivbdujUV9Y8k7otX09Qeh9NvQ+bn5oFQTzUHoRdfdkLu0CPGFm49P/9Ugvj8UNvU+ZWa2J2Ys8yY0/xsxGpv8r4Ksd904iR1t59W8QNIT8M1Yvm9no9H81/LOI2yaR3c3s7mrxg44h/ybzg+nvaVb7FTVBAwwaNMhGjOjBXkCbCbNuhZkXwezh2YGl/csui38Hem3abeotrEh6wswGdbceCwLd/WnAX+Gvhngfd6+uTPk9AeeEsdgQBwInSPoQHwkYQLldH6Zz5soFix7HA/tJGouP/gygPOf5pjAWg6CT0eKw+Fd9s3fA3gOWAK0NqnyrURDMf7rbYPwzvppoHXxS9RjcrXGZpXdtBXUZjrt2NsZv6pOB53EX6+/NbHqNuEFQjTvxxRXr4Svjx+Ou0GuY+319QRB0NlotvhUd9Di61SUdBEEQBPODHu+SDrqFcEk3Tme/VicIgiAIgiBYyAiDMQiCIAiCIKhJGIxBEARBEARBTcJgDIIgCIIgCGoSBmMQBEEQBEFQkzAYgyAIgiAIgpqEwRgEQRAEQRDUJAzGIAiCIAiCoCZhMAZBEARBEAQ1CYMxCIIgCIIgqEkYjEEQBEEQBEFNFu9uBYIgCIJgocKmAm8AiwEDQXGrDRZ8YoQxCBZi/n975x5v13Tt8e8vDxISrYiktCFE4k2ReqtIWy1K41bVo/VovS5tL1WlpUWu1rtXqY/ScKMV9BJaj3pL1CsqIh7VEOQIQiIPibxzknH/mGP3TNs6++zknJPzGt/PZ372XHOONeeYc61z9thjzrGWpPM8HdNM7ddIMkk1jWhjWKbnp5tOu8K+Bkm6S9IMSStc91Obs8+gA2HvwvJToXYDqN0CagdC7caw/FywuS2tXRA0ivjZEwTtm3P98zFgZAvqUYlhwNGeHwl82Ix9/RHYpRnbDzoq9irUDgWmlVVMgxXDYcUd0GUMqHdLaBcEjSYMxqDVIambmS1uaT2ChjGz/i2tQ0NIEtDVzJYCO3nxJGBHM1vUhP10AczMljdVm0EbwQxqD+aTxmLOy7D8+9Dlr6tLqyBoUmJJOmgxJI30JUGTtJek2yXNBf6Vyewq6U5J0yUtkzTNz+tf1tb2ku6Q9K6kJZJmSZog6VpJXV1mSNbf+ZJ+KmmKy0+UtH+BjgdJeljSHElLJU2VdH1B/2OztrfwZc+PJL0vaYSkdTLZTpLOkvSSpLmSFnm790g6oKzdr0l6QNJs779G0lVSZTeFpGMkWVa0d6bf2ExuO0m3SHrP53empLsl7VWp/ez8TyxJl/r2dIKkX0l6W9J8SU9J2jmTNeq8iwBTsnP7u0w3Sef4fC2UtEDSs5K+V6ZLfn2HSzrb9aoFjvC+Sj+StwAWuuwQP39dSZdKelXSYknzJD0maVjR3Ho6SdLlkqYBS4F+LtPfr/tUv24fSnpE0kEV2qo4V1Vci0F+ryz063mhpOOz9s/LZE/xsU3zsS6SNEnSxZJ6lrVbOr9G0t5Kf1eLJI2XtLukdXysH3p7V0rqVs8Yh0s6V+nvYp6kGyX1lLSbpHGu+8sFc161vi2CPUD2b6uC3N1gbzS7OkHQLJhZpEgtkkjLj+ZpZpav8fpDSV/2VpBmAZu73FrAB/XIGdDD5YZkZUXytcBXMv1+VqHN2cBWmezYrG5OgfyITPaMCu1elsmdXkHuTaBPhbk9psK5Y11mH2BxPTLLgSOruIY1+TUr6LtoLmYBn3LZ+nQ0oL9f23EVZH6X9Ztf35llcpXmYwjQB3i9gswZ9YyvvJ/+wFZ+f9TX1s9WZa4auA7rA+8VnP9ulj8vk7+/gn6PlrVdKp8PLCyTnQ38vaCN4fWMsejv7mFvOy+rBQauir71pZ122smajWXHmi2lulR7YfPpEaw0wHhrBd+HbSHFknTQWpgHfB2YCGwqaS3gGlKY4QTgCGAKsDvwANALuBQ4CNgSKHncfgpcCfQENgcOIH35lNMD2B94AvhP4GLv62LgIUkbA8Nd9kPgG67bGcA5wLrAFcC+BW3/g+Q124j0Zbom8B1Jx/s/qC+6XA2wJ8ko+KznFwBI6gdc6HL3AycC00n7/W4FNnE9flTQP2Y2EhipOi/jY2Y2pEzsWtcNn4NRwFDgdpIn7ipJfzGzBUV9rARDgJeA0Z7vRZr7W8xMkkZS52XcxMxqSidKOou6PYc/IP3I6A5cTfpBcYqkG8xsQlmf65Hm5kZgHWCR91U4H5J+DwwgGcqHAn/zNm4mXa8LJN1kZu+V9dMDOBy4G/gMMAP4K+n+APgVcAmwPXAX8GlguKRRZjZ1ZeaqQDbnVO8f4F6Skbax54u4AjgTmAp8BPQFRgBfA/aR9Hkzm1h2ztrARaT7cgTwLR/nDsBupPvzRerm5JcF/XYn3efv+Dh7Al8CHvJzjgEuI/0tHkqav1XVF0knACcA9O3bl7Fjx9YzHY1j6y1eZ/31qpOdOvVF3nyrefQIgmalpS3WSB038XEP4xFldV+hfo9CKS1y2T7AMi97jvRFdSiwWVmbQ7JzR2XlAt7O6tYjfcmUjn+byXamzkuyDOjm5WMz+W0y+fFZ+We87Eo/XgL8HjjZdVsrO+/4KsY/qYo5LsmOLSsflNW9UFZ3Z1b35Qbar3G5mqzsmOz83GP6g6z8rHrug/5l7T9ZxTycVXB9H1zJ+Xi3in4OKxjfdWXtdKfOKz4L6JLV/U923nGrMlcVrkPuhf18Vv6rrPy8rHwn4A7SprtlfHKs3y6Ys6X4PUr6gVEq/1Mm+5SXLannfrgpK38mK/9SwX157aroW19qVg9j7Ykr4WG8vPn0CFYawsNYdYo9jEFr4fmy4z5VnNNN0tpmNgM4ibQ8uCNwPvBnYLKkx5XtH8z4t3fH/2m8k9X1Ji3xFckuJxkXkLxwvQrafjXL59650r6u4cAjQFeS5/BqYAwwXdJRLlPN+Kv0aRRSOD7nrSxfjR6VaGguGmJV56H8flpd/fQi/agAmGZmuXe7oXmtOFdlewHL9yXme1qn1pPH29kUeBw4GNiA4uDH7gVlM8xsoefzYKF8XEv9c42C8yH9wChR1MbSrGzNRuq7+tCRVQp2gU6HNasqQdBchMEYtBbKo1VnZPk/mJnKE9DJfLnUzK4nLcltC3yT5MWDtPx1SkF/G5UykgR8LqubSfIiFsl2Ji0fQ/IkzS5v2MyW5YcF9TPN7Msko20fkrE7ibSUd433kY//7HrG3xhjrnB8BcczaBwV56KB8vL+P1fPPPy04LyVjX4u9TMfWLOee+3qKvqZTVrWBtjQr2WJhua1mrmqj5lZ/rNZvl+B7EHUGVg3Ab18jL9poI+irR2VypuqjVXVd/XRaS/Qrg3L6QjQhs2vTxA0A2EwBq2Vp0hBAABHSzrCoynXl7SHpEtJ+5qQ1FvSZaR9VDNI+8nyZ1eUG0QAB0va1yMsz6DOYHzezGaR9g2WvsS+K2lP91T+kjpvzqO2Co//8cjVY0neqH8At5ECLiAFefQm7dMsGRA/UYqWXkvSBpL28T13Z1bR3Sz/3FhSaV8dZvYa8JofbucRuj0kHUjaSwpp/p9e2fGtArOy/PZuwJe4J8tfL2mgUtT0IEnfkfQEaa9eYyn10wMYIamfz/fWvg/uhWoasfSYnkf9sBdwrkcR70FamoV0Xz24sgqa2cgCg/k8r34kEz1PUi9JOwLHFTSVG2cLgcWSdgOOKpBtDbQNfTvfQdpOXQ8aAp2vWT26BEEzEAZj0Cpxz+EpwArS8tYoUmDMDFKgyk+AT7l4N1JE8eOkjfdL+fgX6AMFXczx8nmkQBdInqEzvf+p1G3aX9fbnpuVzQFOW8Xh7QLcQDLYFpAMppKRNtHMpnv/52T93+ey00gGyYlUt6w7zj/7A7PLljFPIu2jhBQA8xEpMKMrad5/aI0PeKmGcVn+L8AK1T2m57ekfaAAXyXN2SLS8u2fgD2aSIdfkoKqAL5LWspdALxMmpttV6KtU6n7sfML0n3zBHWBML+w4oCXxnAF8L7n/4N0Tz1Huo4lSl7L+0jR8ZD26i7k4z/QWhttQ19tAF3GQafLgM2yih2h8x+g8wOgtVpKuyBoNGEwBq0WM7uFtKQ8mmQI1pKWUseTjLzLXXQOKaDgWdLS3HKS8fMUKZjmLwXN/4Fk8E0hGZgvAt8ws4ey/i8kRUc/SvrSryXtdbyB9NDnV1ZxaHd4qiF9+dWSDJQRwH5Z/5eQImTvIxkAtSSj4GngPNJbSxrih6SI3098uZrZGGBn0n7P96lbYr8XGGJmo1ZhbKvCaFJwxlTqlnNLOi4kRSmfQ/LyLSQZjG+SgnO+R+WnJVeFmU0HBpMimieRDOn5wGRSpPThK9HWK6S9tNeTgqlqSffPGGCYmV3UWH0L+vyAFPTzEMm4mk6KaL4qE5vlsm+Qlnmfd9kppMCrm5tar6agTemrdaDz6dB1MnRZAF0WQ9fnoNNxoPq2dQZB20Bpv38QtH+UHtA8xg/Pz5bzgqDNI2ko8JxZemmxpIGkHxsDqIveX9UfOW2ewYMH2/jx4xsWDDoUkp4zs8EtrUdbIJ7DGARB0D64BNhB0gekR0Wt75+QHtnTYY3FIAgaTxiMQRAE7YPbSI/02YT0kO2ZpH2M15nZnS2pWBAEbZ8wGIMOg5mNpc7jEgTtCjO7mLoAriAIgiYlgl6CIAiCIAiCioTBGARBEARBEFQkoqSDIAiCdo8HAy3g42/Fae/0JsbbEBub2foNiwVhMAZBEAQdAknjO9IjVGK8QVMSS9JBEARBEARBRcJgDIIgCIIgCCoSBmMQBEHQUbiupRVYzcR4gyYj9jAGQRAEQRAEFQkPYxAEQRAEQVCRMBiDIAiCIAiCioTBGARBELRrJB0maYKkRZJmS7pd0mYtrVd9SDpd0qOS3pW0RNI7km6TtG0m01XSuZLelLTUZa6Q1LOsrb6SbpA0w9t6RdKPCvrcSdL9kuZJWijpSUlfWR3jLdPjNknm6fasvF2Oty0RexiDIAiCdouk7wMj/HAKsB6wDjAD2N7M3m8p3epDUg2wMfAOsBAY5FULgG3MrEbSn4DvACuAycCmQFfgMWComa2QtDbwHLA5sMjbG+ht/beZ/dL72w54GliL9ODrJcBngeXA/mb2YLMO2JF0LHBDVjTazA7xunY33rZGeBiDIAiCdomkNYCL/HC0mW0KbAl8BPQBft5SujXACGATM+tnZpsDp3v52sDBknYkGU8A/2VmWwDf9OO9gWGeP5FkPBmwq5kNAn7jdWdJ6uv5C0jGUw3JEOsPPAN0Bi5r6sEVIWkAcCXJkHunrK7djbctEgZjEARB0F75Aul1cQCjAcxsGjDOy77aEko1hJldYGY1WdFjWX4JsF92PNo/7wUWe740rpLcZDN7sUy+KzBUUhfgy172oJl9ZGa1wF1etq2kDVZ5MFXgOowieQ+PJHn6ctrVeNsqYTAGQRAE7ZV+WX5Glp/unxutRl0aww/9cxZwGwXjMrMV1L1HuTSufrmMMz3Lb0QyqLtXIdecnAvsApxsZlMK6tvbeNskYTAGQRAE7RWtZHmrQtIakv4IHA3MA4aZ2QdUP64iuWpkKpU3KZIGAz8DbjKzUSupS5sbb1smDMYgCIKgvTI1y/cpyL+9GnVZKST1Bh4Bvgu8Bwwxsye8+hPjktSJFNADdeOamssU5N8GPiAFiDQk11xsQ9o7eIik+ZLmU+fhG+bH08r1asPjbbOEwRgEQRC0V54lLeOCB0lI2hDY1cvubwmlGkLSlqQgjD2BicDOZvZ8JpLrXQr+OADoVlZf+hzokcG5fC3wiO/fe8TL9pXU0/f5HeRlL/m+z+amGymoZ23qvH2d/fieTK69jLfNEY/VCYIgCNotkk4ArvXD/LE6M0mP1Wl1xoGkSaRoX4CXSY/TKTHCzEZIuhk4nBQo8howgBTY8QSwtz9mpgcwgfRomUUkz1npET2/NrOzvb/tSdHJ3fn4Y2ZWAAeY2Wo1rLPHCuWP1Wm3420rhIcxCIIgaLeY2XWkR7JMBDYkPXLlTmCP1mgsOt2y/DakgJBS+pyXHw0MJy3DDiAZPleRDJ4VAGY2n/TYmRtJRucmwKvAacA5pQ7M7AWXe8j7Xo9kUO3fioynjjbeVkd4GIMgCIIgCIKKhIcxCIIgCIIgqEgYjEEQBEEQBEFFwmAMgiAIgiAIKhIGYxAEQRAEQVCRMBiDIAiCIAiCioTBGARBEARBEFQkDMYgCIIgaCEkHSPJPPVvrFwz6FfjfY5cXX0GrZMwGIMgCIIOiaQ1JZ0m6WlJcyUtkjRZ0vX+er7WxAek1wU+Q3ozSatC0maSRkmaKmmJpA8kTZD0vy2tW9A0dGlpBYIgCIJgdSNpXdI7hXfwovnAZKAf8D3gJeBfLaPdJzGze4F7W1qPIiStQ5rLjYDFwCuk1y9uQ5rfY1eTHmuY2dLV0VdHJDyMQRAEQUfkd9QZi5cBvcxsOzNbFxhKMhgBkLSnpAfcC7lE0quSzpbUNZMpLd3+UdLFkuZIek/SSZJ6S7pd0gI/98B6dNpK0t8lLXZP58FZ+59YkpY00o9rJH1L0iTv4++SNs8blrSvpEclzXNP6jPlekjaWtIT3v8kScOqnMvdScYiwNZmtoOZDQB6AYeV9dFT0iWSXve5nC3pYUm9vL6zpNMl/dPr57neX8raGJLNxfGSxkhaDJzs9YMk3SpphqSlPpdnSAqbpzGYWaRIkSJFitRhEvApYBnpvdIT8dfk1iM7JJOdQ3o3sXm6JZOr8bLFpOXj9/x4Bcnj9o6fb8A8koEKcEzW3nxgktcbUAtsWyDX38tG+vEyYCnJI7rCy57MdDskK3+b5Ekt6XaIy3Qjvae51N4/gYU+HgNGVpij/TPdLiW987p7gdwawHOZ7FSfz+XZmEZk9a+T3hltLrNfdk1KMkt8vl8BfgRsls3zHOAFP9eAq1r63mvLKaztIAiCoKMxiLotWY+bWyH1cL7Lvg1samabAxd73WGSti2TnwcMBPbyY5EMswEkww2gJ7BzQV9XmNkWwFbAAqAz8JMqxtMF+KaZbQlc4WW7S+ru+Utcj5uBjcxsIMkwE3ChyxxOWo6HZERuDRwErFlF/2NIhi6u7zjgQ/f85V7Mw4AdPf9zM9vI53MLYJakTUnbAQCuNrPNgE1IBm4n4IKCvp8C+pnZVsDVwM+BTwOv+Vi3B45y2ZMl9StoI6iCMBiDIAiCjoayfCVjEeAL/nm/mc3x/M1Z/eAy+SfM7EOSx7HEg2a2BHgzK+tb0NefAczsHeBJL9umAf0A5prZ3Z5/JSvvI2l9ktEFcASwQpIBx3nZZpLWA0qG7xLgLtfjYWB2Q52b2SKSAfwLkgdxOcmbOAS4S9LXXXQX/1xG8kSWzp9sZh+R5rJ0bW72uo+Ae7zs85I6l3V/rZktdtnlWR+DgHk+1pu8rBPFhnpQBRH0EgRBEHQ0XiUt93YB9pSkBryM0LBhWWIegJnVSvpYWVkbudFaREP1OR9m+dqyNvJ2pgAzCs7vWlC2Unq4YXcBcIGkHiTv5I2kOf4GdUZftVQ73++XHZf0nUVa0i5n0UrqETjhYQyCIAg6FGY2F/g/P9wB+LWkfztQJH1R0lA/fNY/9/PIakieuhLjm1C1b3n/GwK7ednLjWnQzGZQ5+18GdjLzHY1s12BQ4ELzez9rJ81gQNdj6HAujSApMGSzpTU1/ucD9xP2v8IdQbzM/7ZFfhxdv4ANzJL+xsBjvS6nkDJQznRvYiV+Id/LgAOzMa6L3CNmf2tofEExYTBGARBEHREfgA87/mzgNmSXpQ0E3gM2M7rziV57foBb0p6FTjT6241s5doOn4s6V+k4JUepL2PlzdBu2f554HAe5KelzSNZEie5nU3kwJzAEZLepn0GJ9lVbTfG7gIeN8jwycAb/kYaoHbXO5WYILnL5b0lqRJJI9vbzN7A7jB60+R9DrJKzqQNBfnVKHLr4G5pKjtt3ysb5I8jiOrOD+ohzAYgyAIgg6H70fcHTidOq/UIOAj0lLqgy43FtjHjzuR9gO+RtqvdxRNy6GkiN81gTeAb5vZi41t1Mz+DOwHPEraW7glyft3G+mRQvg+wP1JQSQrgO6kAJRpVXTxAil45mk/3pbkKXwcONjMxnkfS0n7Gi8l7efcAOhDMtBLXsgTgTNIezH7keZiDLCvmd1XxVhfI+1jvJV0Lbf2NsYCp1YxlqAe1PC2jSAIgiAIgqAjEx7GIAiCIAiCoCJhMAZBEARBEAQVCYMxCIIgCIIgqEgYjEEQBEEQBEFFwmAMgiAIgiAIKhIGYxAEQRAEQVCRMBiDIAiCIAiCioTBGARBEARBEFQkDMYgCIIgCIKgIv8P+nYxP9KEkG0AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 216x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# dotplot\n",
    "gp.dotplot(enr_up.res2d, figsize=(3,5), title=\"Up\", cmap = plt.cm.autumn_r)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "enr_dw = gp.enrichr(degs_dw.STIM_names, \n",
    "                    gene_sets='GO_Biological_Process_2021', \n",
    "                    outdir=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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M7FZcQbkRd58+D1cO7qdofZSZTQWuygVdUSK90cB3cdPIuUXH5uMmayfja6Nm4B3ll4CzgFLu90lyHAA8keK/hXsjHFEibv561wMn4Q4sZgGjcYXw9RLRb0nbuCTXPFy5uJJFPxnQ5tRzH0qcOwtXiJ7AZa/nuq/j9+QpvIzeAL4N3FBfDkryO3wG7R181nMWbr44guZr1IplmpdkuhNXnibhyvt3y8QvW+cqXOM+fEb4z/hAQVbe/wAayrjfD5YS9t0XNm6JYXENdOsGJ57YPml3dVTGtDoIgiAIujySbgC+gnds1zKzOVVOac21shfy/WbW0F7XCYLFwbBhw2z06NEdLUaQePRR2Hnntv+w9Yknwm9+U3t8SU+Y2bC2lWLpJGbSgiAIgqAISfdKeg9X0AB+3p4KWhAEQXuyww7wg7LzuS1j443h58UfEAnajFDSgiAIgmBR1sVdxb+LfzD5oirxgyAIOjXnnANHttpFjjN0KNx11+LxHNlVie+kBUEQBEERZja0A66p6rGCIAhahgSjRsGqq8Ivf9ly08ftt4e//hVWX71NxQuKiJm0IAiCIAiCIOgCSHDuufDAA7DhhvWd27evK3cPPxwK2uIglLQgCIIgCIIg6ELstBO88ALcfjvssw/0qvC1wY02gvPPh7ffhlNOcY+OQfsT5o5BEARBEARB0MXo3h0OOsi3OXPg+eddcZs+HXr2hLXWgq23huWX72hJuyahpAVBEARBEATBUsD8+Ua3biDVt8S1Vy9XyLbeup0EC+omlLQgCIIgCIIgWMIwM+59ZB633TOX0c/N47lX5jNjpq87W21lsc1mPdhx6x4ceUgvVl05bBSXNOJj1kEQBEEQBEGbEh+zbl+uuWU2P//9LF55o7qLxh494PN79+TcH/Rl7TW6LwbpyhMfs66dUKuDIAiCIAiCYAlgwnsL2P8bUxl+6oyaFDSAefPgpn/OZfMDpnDxH2e1s4RBWxFKWhAEQRAEQRB0csaMnc/2X5zCnffPa9H502fA8Y0zOe6M6YQlXecnlLQgCIIgCIIg6MS8/e4CPnPkVN5+r/XK1aU3zOGUc2a2gVRBexJKWhAEQRAEQRB0Yr5x+vQ2UdAyfv2H2dz1wNw2Sy9oe0JJC4IgCIIgCIJOyh/+Mpu7H2qZiWMlvvnj6UybHmaPnZVQ0toZSVtIuknSWEmzJX0o6SVJf5F0SFFcK9oWSPpE0sOShpdIu6nEOXMljZf0B0lDWyn7uCzd1qTTWZE0KlduDYvheltKGpm2Ldv7ehXkaMjJMbSj5GgJSfbsno1sYRrDs/y3R/rtRZJ5sdXXliLp4Fz9GtSKdNrtXnSWttgaqrXjXNk1LX7pmsnRJvVhaSE9f7J7M7yj5Qk6P2bG2Ze0j7OPt941Rt08u13SDlpPfCetHZG0M/AfoGcuePm0bQR8AtxaKQlgGWBHYEdJy5jZhVUu2wNYAzgaOEjStmY2toVZCNqWLYERaX8c8HQHydGQk6MJl6UrMRzYLe2P7DgxlloOBo5K+6OAyR0lSAW2pHO0xdbQwJLRjg+m89eHIOi0/OuBeYx9qzYvji3h9zfM5vgj+7Rb+kHLiZm09uWHuIK2AH9R9ccVtO2AM4GyypOZKcUfmQs+ocK1dk/nrAU8lsJWAH7SMtGDoDmSlvqnuJk1mZnSNrKj5eloOvKeL+n3oqPbS67sGjpSjqB96Oj6FSw+brlrTrum/+JrC3j59fnteo22QNLqkh6XNFXSr3Ph35d0WZVzt5J0h6TJkmZKGiPprPaXunWEkta+rJ9+pwJ3m9kMM/vYzP5nZiPM7OeVTjazGcBvckFrVrugmY0HfpkL2rbaOXJ+mMwkZ0p6SFLZDw1KWk7SL1MlnyVpiqT7JR1cFC9v1nGMpHMlvZPOeVjSdiXS/qqkB5KZ52xJr0g6W1K/ongLTXkk7Z8a7kxJr0s6VZKK4n9W0rPp2i9LOqJC/rpJ+k5Kc1pK9zlJp0jqkYs3NCfHKElHSno+xX9J0lG5uE3A1bnLXF2ryYukgZLOTDLMkDRd0guSTi2Kd5Ckf0v6WNKcdD+vyptCSRpHYfQd4D4VmdAVle3Bkp6WNAcfdEDS7yU9KekDuXntVEn/k3RcvtzV3FytUdLJkl5LeXha0n5F8n9K0i2SJqhgGvykpMsk5WejS5XRd1IdzOrXzHSfz5M0MH+/KMyiNTMxLiHzyHrLN8XLmyFvJOlvqYzek3SlpGVycdeUdGOS9eNUnpMk3SVpr0p5rlIedbU9FUybx0naRdIjkmYClxal+XDKy2x5W7tA0or58qQwawLwRk6OoSlOH0k/KarPj0v6epFMJe9FPeVbpmyaqNIWU319VNL76V5Plz8/fiSpVy6t4mfAMelezgW+nOKsKjd5n5rq9GWSDsyfVyTf9pJuTdeem+7bKLWiHefOy5vMfk7Sxek6n0i6W9L6uTSzZ88VqW5OkfRnSduVSrtMWddSH/qn8n5B3m5nSHpK3vGqau1TlKdjJV0o6aO0/VpSTxWe/1ld27lEOvW+e8ZJ2k3+jJopabSkHSUtk+rh5HTvLlR5haqHpLMkva0Wts1W1NWy76vcOVXrYtD+PPF8+ytQo59r+/Vu7cB38MmHXwMnSVpf/v75LhUmJCRtCjwE7I3P5h8P/BM4oL0FbjVmFls7bcC/AUvbW/hD9Shg7TLxs7iWC1s2n0ZR/KbcsYZc+Bdz4c/XIOfI/LXTNgVXLovlWRl4rUT8bPtBLu7wXPgHJeJOBzbLxb+oQrqPA31LlNUn+ExlcfwjcnH3BOaViPNOcfnhAxe3VZDj74BS3KG58I/LxN+5xL0q3oZXuDcrAi+XOa8pF+/0Cul/BGyS4o2rEK+hqGw/Aubn/o9Mx2dVSGNETqaGKuUzB1gnxe1H6TqSbQNKpDkyd61/VTj3PyXu1yJblfRrKt8S97pUvq/Mxd2+Qrrz8RnyUu20oVydaWHbG5cLn5mLNyodv6yCnOOAVYqfYSW2oek+P1Yhzu/K1J+RLSnfMmXTVOH6w1Occm3OgKtzaQ3NhU8qTgvoAzxfIo0JxWWc0juU0s8qAz4ENmxBO24qU4dKld3LQI8UV8A9VWRvqlLW1epDf+CJCnH+CXSr4/1Vqq7fUaJMJwPLtfLdMw2YURT3I+CBEmmcWaZtTigRt9622ZK6WureG+l9VU9drLRts802FrSO+fMXWM+NPjLWbd/tlHOmL7Y8AaOtSt0ptQG/BR4Bdk31cCu8X/39Kuf9McU/vSi8f27/dOANvN97F4W+SfZ8+R3wSnrGfCkd6wWcn9rxZOAvwErp2Lfwfv9sYDxwckvyHDNp7csF+M0FGILftFHA2DQatmWlk9MI3km5oD9Vu6CkNYGTc0H/rRJ/EHBa+jsb2AcYBFwBDChxypnAungH8gtAXzxvD6TjP5O0aonzDNghpX1RCuuX0kPS9vjoBngZrZKO/yCFDQOOK5HuMsA5wHK58wG+ltv/GdA97f8IV3wPS9co5lDgc2n/HNw8dRn8XgJ8Fjhk0dMYBHw7/Z5XLIe5ydHRufCjrWCONKpEehlnAhum/YeAzfGOzTD8gYCktVI88AfFbimPP0thy2Xym9lQoDGX/u45OZqKrr0ccD2wWspXJufX8VnigfhDagvg7XTse1LzWcxEf+DzKZ3rU1hP/D4AbIwrpACn4p3blYCd8ftQbZjvAnyd0fIp3SG44gawu6QtzWycuUnw/dlJubyXkhmor3xL8D9gVdzEOVudfUSujN7E69uQlOf+wIHpWDfgexXyXCsV214R/fC2vA7e/s+WtCNwTE7eLfFyvjqFLSyfVI7X5NJbO1fG4/ARz2ym4Ph0jZWAm1LYdyRtXUfeqpXvItTYFk8HNsHvcy9gPQrr1o6UtHyJpFcAzsXr8crA3Xj73zQdH42vF94AHwRrRnre/x5/Vj2Jr1vuDeyOD2gsT7KSqLMdl+MT/F6uBryUwjYEPp32P5M28M7LJiluzWuca6gPJwLZ/b4Lv5fr4PkH2I80I1kjc/DyztehA4Dr8HaareleFtgfWvXu6Y93GpclPYvTNbbC29s6uCIH8JUy8vakFW0zhbekrg6iwvuqnroYtC8zZ8HcxeAlf+qS4eHxT3j7uh9/ngpX2C6qdBKwTfq9E7zfm2bg+sotp44Cfo73l8/F+zQ3FaXxGeBivJ2dm8JOx/vbf8f7APvh7QbgF/hgyLHAJVTvw5QkHIe0I2Z2h6Q9gZ/iFal77vAOwB2SNjKzacXnqrlHxfnAVVReX3ZfiX7Jx3jFq8QOeOcQ4J9mdne6/k/wNXDFZmZZB7I7cHOJ9Hrhndgbi8KvMLPHUto/xCtuTyAz6TowF3d42orZG5/mzvM+cIaZzZd0DT7aAd5xRFJ/Ciafk4DzzGwBcJOkE3AloFT+wBvg6WXkuKUo7Akz+3265nUUFN+1SpxfDwfl9o8wszez66UNXLHO2vK1ZvZAkmMkXs4r4opKHzOrx0XUJ8Cx5ma32X/w+ngl/iBbluZm08vhHdT3i9L6m5ndmuS6ETg8hWfl8xb+EOuBd8r64iPET5rZj2qQ9QPc/Gt7vNNf/GzbkJY7h2hN+Z5sZu8B70l6Hn9Z9AYGA+/hI9Kb452y9fCOX7HcraVa2yvmaDN7J+2/Kimv0PzWzJ5JaX0fb6cidXhrIN++fkehvebZm0InvRrVyrelTMVNzbfGO6T5Z3c3fJCieABsDPCjNFIMQHr+Z5xtZm+n8F8Dlxedv1O6Fum6L5eQq8UmsCU4P3cv/4kPlIC3yUdxC4SMC83spRT3TFwBbQvy5kanp3uZXeO2FL4/cEON6V1tZi+mNCbizyKAs8xssqR/4AMFUFg+0NJ3z9yU7gxJ9wFfSuG35drbc/g7ttxShVa1zfTbkrpa7X3V4roo6RjSoM7gwYNpamoqk5WgFubMFf6qbV/effcdmpomtPt1WoOZPSZpbbyePo3PtP8AOEbSyXg/4OjsGVAqifTbBHwq7a+ND76DDxpnA8erFA1w/NrMLpd0HIWlTNl538rF2zv9vooPqOyG99WupwWEktbOmNl9uAI1CPfSeCDwDfxBvDr+AL+nSjKi9KxWKebhnZN7cROLsbBwDUMzhSGNcq6QC3o7d2ympA9ZdLZpZaqzQomw8bm0Z+TSHiCpdyvSfd3MMoPt6bnwTPFcjoIS8W5S0DLeZlFaKseY3H4pOVrK4PQ7I6egFbNSbj9fzvMlTcCViB74S/cdamdMTkEDQNKXqT6j27dUWrn9RcrHzCZKOhYfodqa3Ei4pIeAA8xskdmHdHwd4MEy160kU620pnyr1YsLaf6AL6Y1cmdUbHtmlve/PDHXCcwol//Jkqbginot7YYa45VqX+Vo83YnaSd8VqeSpUmp+/JMXkFLrJjbH19mP6OWsukjqb+ZTa8etSrVyq4e2VtKybqFz9hm1Fq3oLmHy5kl0st7YOhdR/ql6uTE3POx1LXy1+tFaVrVNltRV6vd+xbXRTO7nDQAMWzYMGtoaKghqaASyw+azEeT23ema9uth9DQsH71iB1MblDuEHygpAkfQN4dt/L5KYvOXI/GB6H2Ap7B37m/pWDVkc1wHA5MTPvdcHPmjI/S7zwK7U3p/2fxwWtyx/bArc22xq2BDmPRSYGqhLljO6LcAnYzm2xm/zSz4yiYjUFhtKoZSYFaE6+A3YCvUtm8IDN36Wlma5jZcKvN9f6k3P6QnOx9KfNiSr/TgN55c7Ekczczu7jEeQtHEpMpRZb2tPQimpiLe3hxuintUk5QFhoClOgggc8mZorZqpLydX5Iifh5OXYqI8ehleSgMFpTTEuestmMVL9kylqKD3L7+XLujg8EgD9IsodMrXLMLBGWNz06AV+rIarPfFQtHzO7Cu+gbI4/3DLTpJ3xBcPlOIhCR+Q6YPkkU/HId8XrV6De8i1cyKxavrPynI0P4vTEzWvbkmptL0+pe14u/4MoyJpvN5XKNx9vSJn2dWq5k4upoXzLnlrh2JcovBvPAwYmuYpnz4spVXb55+vquf01SsTNl80VZcqmW65T3NpeW7Wyq0f2SlSSs2TdKtrPl0s1SpoUmVklU6OWvnvKpVmPWVNr22ZL62q1e19vXQzaka037V49UivZZtMlZ84mDeyfgy8H6oYrS4fis2OlMnIernCdLek83EJlYO7439PvUfjzbTfgpzVYHv09Xe8ovC3vS2HQ9QLcRPlJXIlcreYM5gglrX25TdJ1cs9SK8m9TG2Gmz5mvFTuZDN7CziCgjb/HUkbl4tfCTMbWuIhC76IP6uI+0vaOymXP2NRU0fwRdjgM3tXSlpDUj9JmyYzh2fKiPB/kraVlNnzZmlns4h35OL+TNJOci9wa0jaT9INFEzk6sn3dHzdCvjI8Glyj2WH4iYd5fIHcKHc42AfSetI+rykO2h+/+rhw9z+ZqrBcxnwt9z+tamc+ya5vp3C/0WhY/A1STune3gGhdHw/+QeOHk5tihSXKuR74BMwZ2DHo3bibcYSStKOh+fWZ6IP/xuz0Wp5Nk0L9MMYJakHYAjy8RfmH/V9iHjesu3HrJ0F+Dr3frT9ms9qrW9auTbxHclbZ4UtPMpjED+IxcnX78+peZ22Pm0rpJ75+ojaQNJR6RZ09aaCNdCpbaYr0/TgHmSDqB2k8489+b2T5O0mqT1aL5uOOMRfFAJ4Ci5t8GB6d2xk6Rf0nztY2vacS3kZT8+3atVae5VshZqrQ9nSxos9xx4Ri48X7fag3Z599RIa9tmW9bVPPXWxaAd2WGr9lWgevSAT2/R/opgG3IicJeZvWRmU/GlQEfi/dJziiOb2Qt4v+0+fC3mJenQ+cAHZnYN7r16fXxN2Vco+FmoxDn4+3oX3HR/Pwpr3gfh64YvxU2STypxfnWsBd5GYqvZE81DVPZudVtR/IXHisJ/njt2Sy68KRfe0Ao5R5aQbQZuBtFMHtz8bmylfOXiDs+F1+LF6pIq5TW8RFk1lSnDcbmwPWnupTDb8t7YGlLcbvhLu5IcWdyhubBRuevlw5ty4avjMybF6Q2tcG/a1Ltjijusyn0rWbbp2OFl6spbxfmhvHe+fPioFDakSpkfXC5N3JHNzBLnvJLbz9edU8qVZQWZW+TdsajsmnLnZGV0RRW58/V4ZC68Ynun5R7kxpVJrybvjinuF0vFScf64d7yKt3ravWn5vKtUD5l2yI+c1vsMXY+zb3aVnwG5K5Tzrtj3rPs1bn4X6H0s2qRa9CCdlyuDhWFD09h5bw75mW/r4b3S6X60NbeHfPtfFyJMilXp1ry7sm3zeFl0m0qIUM+bqvaJm1QVyn/vqq5Lpbbwrtj2/D6m/NM67WfZ8dDjpu6WPNDC707dsUtZtLal5/idq+jgXdxE4MZ+ILHH1FYoFiN8yiYUh0i90bVljTindC38Y7Lf3Hb3Q+KI5rZ+3jn4Be48jAbH8F7FV/cXc6L1Qh8du6ddM6jwJ5m9nwu7W/jM4f349PDc5NM9+EmUHe2JHNmdi/+MfHn8TUCr+ELm+8oEXcB7m3veLwcpiV538RnVI6ndqcGxWlPwEd7XqTgia7aOZNwU5uzgBfwWc8Z+AzsP3Pxzkly/wcvu3l42f0B2NpyC2nNbDS+eP51mpu91CLP9fiI0BtJltH46NHr9aRTgo/xxe+P48rzfHz06RHgq2Z2WwWZXsdNHp9KMr2Bj5aVczZwMT669S7e2ahKPeVbJyclWSbinbM7KHjUayuqtr1qmNm3cI+Ij+JtYi4+WPNbYJglhw+Jm3HPc+Mp2Oln6czARzR/gs+6z8AV7LHArfiagnrWTbaISm3RzB7CByOy59uLuCnNQy24ziz8WfpX/P5+jK/X+XEu2oe5+H/CO94346bO8/Dn8Gj8PfCrXNwWt+MaZTfc7PhKvM5Pxb0YHpOL9mGJU4upVB+m4/XhTPyZNhtvw0/jgykHWfN1xO1Ce717aqBVbbMt62qJtGuui0H7ss6a3dl31/abTfvOEb2rRwo6hOx7T0HQ5sg/DHt1+nu0VXY1HwRBGxFtr/OQnDu8amYT0/9V8TVD2WDbfmb2r3LndyTyzyFMMrPx6f9yeL36XIpynJldWu78oGszbNgwGz16dEeLsVTw4qvz2fpzU5g9p3rcevjcZ3py26W1+qVrGyQ9YWbDFutFl1BiJi0IgiAI2o+TgPclTZL0Dj5DkyloN3VWBS3xVeBNSR9Lehuf8c0UtIfwmeQgCNqZTdbvzsjvtoWz3wLLDxKXntWvTdMM2pZQ0oIgCIKg/fgnbjot3LX5J7hZ3Teo70PNHcH9aZuHr0eegefl+7hZXhuP6wdBUI5Tj+nNVw8q9zWH+ujbB269pD+rrLTkqAGShkqy5MCtva+1iaSRkhra+1oV5QhzxyAIgiAIgqAtCXPHtmf+fONbP5nBVX9p+fjIcsuK237fn123LeXAu/1pqbmjpP74t4YnmNmDbS9Zs2t9EV+D22hmI9vzWpVYclToIAiCIAiCIOiidO8urjynPzdd2J+Vllf1E4r47O49eeHOZTpMQWslKwF/Ak4DkDQqzaz9UtLbkt6StEvxSekzUX+V9Imk6ZKelrRpOvZ1SWNS+COStk6fAflLOn1EukbDYslhEaGkBUEQBEEQBMESwpf278XLdy/DOaf0ZeiQyl35bt3gwD168q8/DODvVwxg1ZWXuq7/TriX5CH4JzmK2Qf3VPtn4AT80xg9k+J1Ff6Zi5/hH5P/G+7F9IJ07s241/KWenBuFUvOJ8aDIAiCIAiCIGD5Qd344bF9OPWY3jz94nxGPz+fZ1+ez9TpRvfuMGSVbmyzaXe227LHErX2rAWMNLO7Jf0E/+5fMWPx7wl+Gv+EzH/wT8D8Ih3fO20ZGwIP4x/Nft7MbmwfsasTSloQBEEQBEEQLIF06ya23qwHW2/WZbv02XeE5wHdiw+a2TOStgAOAHbDPe5+E3fmBHAy8Gza74Z/a3Xt9hS4VpZq1ToIgiAIgiAIlhQWLDDeeHs+z786jzFvzGPW7HDw1xrSOrWjcTPGp1LwakDmJfIrwJrAdsCFZvYx8HE6toukL0tq2+8f1EiXVbuDIAiCIAiCoKP5aPICrr51Frf/Zw5PvTSfaTMKilmPHrDJut3ZY7uefOvQPmy0TnTd62Qm8BngONzs8S7gUjObKOlo3BHJxfh3IO9N5zyU9ncF9gDWwL9xuVgJF/xBEARBEARBmxIu+Kszc5ZxxkUz+N0NM5k1u7Zz9tulJ5ecMYChqy9i2bdE0FIX/F2RMHcMgiAIgiAIgsXIky/OY8vPT+b8q2tX0ADufHAum39uMn+4eVb7CRd0CkJJC4IgCIIgCILFxMNPzqXhqE94Zdz8Fp0/bYbxjZ9O49wrZrSxZEFnIpS0IAiCIAiCIFgMjH1rPgccN4Wp01u/3Oj038zgj3+LGbWllVDSgiAIgiAIgqCdMTO+/pOpfDK17fxBnHD2dCa837IZuaBzE0paEHRBJJ0oaaSkEztalnqRNEqSpW1oC84flPI+UtLBbZ1+eyJpXJJrXEfLUolc+Q5vZTrtdi8kDc/kbMt0FyeV2nHKX1Z2wxe/dM1kaZP6sLQgqSm7Nx0tS7B4uea22dz/+Lw2TfOTqcZJ505v0zSDzkH48QyCrsmJwFrAm8AFHSrJ4mcQMCLtXwPc1mGSLL1k5Xs/MKoD5ajEcPzDpgAjO06MVnEiS0Y7XhLqQxC0OxdcO7Nd0r3l33N46935rLHqkunxMShNzKQFQVATknpIWurfAGY23MyUtnEdLU9HIqdXR11/Sb4Xkvp05PXNbFSu7EZ1pCxB29PRbTOon/89O5dnxrSPWeL8+XBVeHtc6gglLQiWACRtLelPkiZImiNpkqT7JG2bi9NfUqOkFyTNlDRD0lOSvi+pR4rTkExs1kqnrZUziRqX4uTNpI6V9CtJ7wBzgDUkbSnpFkmvSZoiaa6k91LYsCK58+ZqO0q6TtLHkj6U9FdJqxTF/6ak0ZI+kjQ75fceSUdVKZ8Bkq6R9FxKe66kyZIekHRYLt5I4I3cqUfl5BtVQuah9ZRvijc0n6akIyU9n855qTgvkg5LeXwrpTlb0lhJl0oaXCnfVcqkKSfHRpLulDQtle3lkpbJxW3IxT1T0o9TfZgH7JjirCjpN+m+z5Y0VdKj8o+BZukMV3MTrt1y6Tbl4m0s6Y+5+jwx1YctivKwyL2ot3xLlMvQJONuubAsPUv/15R0o6SXU32dK29zd0naqyi9kbnzD5F0laRJ+AdUszj7S3pG0ixJYyR9rShvDbm43SR9R9Lj6X7NTPX6FLW8HQ/Ppb/QZFbSdvLnyAxJ4yX9QkUd/xTnkST7OEknF+V5OGWooz5sIX++vZsr679L2qXSvSyRJ5O0ubzdZ/XhIEm9Ut4mSvog1b1BRWksJ+mX6f7Mkj/b7leRSXRRuZ4paYT8+TdF/gwaKGkHSY+lcn2+OI2i9NaVdIda2DZbUVc/J+liSe9L+kTS3ZLWL4pftS4GtXP/43PbNf0HnmhbM8qgE2BmscUWWyfegEOAuYCV2IanOP2BJ8rEMeCf+KBMQ4U441Jaw3Nhk4riDAW+XCGN6cDGOdlH5Y59XCL+v3Nxv1Qh3b+WSXNoClulwrkGHJXijawQZ1SF9Gsq3xR3aJU8G7BzLj+XVkj3ZaBXLu64/L2qUm+acul8UCLt+3IyN1S45w2pfMeVSCPbLitRd4q3phRnZ2BGmTgzgV2q3Ou6yrdEuQwtc44BluJsXyHOfGD3XHojy5VdrmznlUhnQr6MU9xuuPltuWv/HRD1t+PhJerQDGBWifN/kou7ETCtiuzDK5R1LfVh9zJyZGV9eA11fVzunOK6Pgdvn8VpX5s7f2XgtQqy/qBMnkq1q3+XKLN5wPpl2uaEEmncR+1ts6V1tVTbeRnoUU9drHRfttlmGwsKHPb9T4yNP2i3bdltJ9mCBQs6OptVAUZbJ+hbLQlbzKQFQSdGUl/gCgrrR88ABgMr4krN2BR+IrB12r8LWBVYB3gyhe0HfNnMmsxM+BoWgDetYBI1tIQIA4CvpN/1gIkpzX3SNXoDywDHpfj9gG+Vyc4bwLrABikdgD0lrZr2d02/04ANU9prAYcC/yqTZsZU4DC8A94P6IPPAGUfkTkJwMxGAmvnzrsml//hFdI/kRrKt8R5g4Bvp9/zcuFfy+3fAGyH39Oe+P29Oh3bENi/gly18hDeEd0IGJPCGoDPloi7AvBdYFlgDeA54CwKszajUpxPUahHx0ja0ZKJXS6t+3Pl25DCrgD6pnO3we/zVniHtw9wcR35GkT18m2GmY1LMt6fC8tkzGR/E/gcMCTJ1B84MB3rBnyvTPIC9sXrYDYreDaQmQmPwMv1K8BqJc4/NF0X4Bxgebx9XZDCPgsc0oJ2XIq+wI14vTsoF54vu5/ieQe/b8sBe6XfqtRYHy7D6wD4c2QZ4GBcsekGXCSpP7VzZ5Lv1+l/T/x5dSDetrIyO0xSJtuZ+LNpPvAFvGyGAA+k4z/LPafy9MUHHYbizyCAPYFH8HI9JYV1x+9tKf5H69pmS+vqJ8CWeD18KYVtCHw67ddUF8ukHZRg/LsL2jX9T6Zam3qN7Ow0NjaqsbFxu8bGxpsaGxunNzY2Lki/f25sbNy2sbFR1VPp3MR0dRB0bnbCX8zgI89n5Y79Nbd/QG7/dDN7D0DSmRQcY+yPKwT1cK2Z3Zj2X09pvgd8A39ZD8U7Knk2LJPWGWY2NqXxIN4ZAu/8v0vBDLE/8BN85uol4G4z+6SKnDPwTtGfgY2BgXiHuZpMtdLS8n3CzH6f4l4HnJbC18rFeRdXvnfDZ6x6FqXRWtkBTjWzD4APJP0KuDyF7wX8rSjuPWZ2UdqfkmTP5/9kM/sI+EjSbyh02vbHO6dlSeZUG6W/a+H3uJjNJa2SlXEVainflvAhsDneeV+PgqKSUe6e/MrM7kr7z0nqh890AHwEnG1m84EbJZ1AMiXNcWBu//S0FbM3cEtNuajMfOB7qW39XdKH+LMmX3Z75vZPM7PJwL8l3Qp8tbUCSNoAyEzsnjWzS9P+7ZLuwJW15YAd8BmqWjjTzCZL+jfw/RT2iJndka75CJ7HXnh7e5dCuXcHbi6RZi+8fd5YFH6bmT2c0n0JyMzPzzOzDyX9HTg/ha1ZRt7Wts1etKyunm9mz6Q0/ok/N8HL5lFaWBclHQMcAzB48GCamprKXL7r8fHH6+DjN+1H0/0PM2jg0u+Ov7GxsSfu+OsgvA+STTr1A76Iv7P/1tjYeNSIESPa1860HQklLQg6N/k1SS9WiLdSbn98bv/N3P7KLbj+UyXCbsJHpstRrLRljMnt5/0FZw4WLsE7tJ/HR/OzEf3Zkkaa2bkVrnkaPtpbjtY6cWhp+VbMs6RlKcxylaNcedbD+DL7K5aIW+qeZ/mflhS0jHrrV611cAWgFiWtWp1qKRdSfkYYyt+T4rJbnkLnYUJS0DLGs6iSVkv5rFA9Sk28XzT4MT2l3TsXltWPqWb2cS48X4daQ7l2BS1/do1Lv3k3evm05uT2s7y2tNzH5fZLXa/UtYppbdtsaV2t1nZaVCZmdjlJ0Rw2bJg1NDTUkEzXYLVrPuHlN9tPX5Bgn712pm+fJX4CqSJphuwafKa3lNbbDR+s+BxwTWNj4+EjRoyoa4pR0k7A7/FBjheA/zOzJ8vEXQkfUF4BN40+P4UfjA/SDAEeA442szdKpVGOMHcMgs7N+7n9jcvGclOxjDXL7E/M7df6wGrmL1jSchQUtPeBTfHR5y2oTv7ttMj1zWyWmR2Kd2x3Br4O/Bfv3Pxc0uoV0s6bGh4M9E5mVh+WiNsSe5B6yzejYp7x9ThZZ+heYNUk93dbIGMlysk8qUTcUj6is/wPSHWgVFql8l9MPs49eTPDnLlhNzN7oYa0oHr5VqJS/Kw+zcYVqZ64qVc1isvuIyCzcVpVUv6du0aJ8/Pls1OZ8smbzbXGtqm4t1gqrax+DMw7s6C07C2hXLsq/l9L3QLAzEp5T6jmUSFLfxrp2VGiTpYywy2Xbj0eHFrbNltaV6u1nXrrYlCFzTdoX+fI66/VfalX0BLb4jNo1aYl+6V4n64Srxlyz7w34xY5J+GD5X9Vee/Wv6VoMETuFO1GfMb7B7hp/zX1yAGhpAVBZ+dhCorG7pJ+JGml5InsYEnZOq47cuecLWmw3BveGbnwf+T2szRXrKL8FJM5QMj2p+AjvmeVPaNGJH1B0vHA6sAzwF/SL7jp4pAqcmVMBnpK+imlR7/zitv6Na53qbd8ayUv9yxguqRNgRNakFYlzpV7Z9wAODkXfk+N5+fzf36qf5uR1volStWvtfJKnZm9CryS/u4l/xjzoLQNk3QGi5qUtRcL64GkLYuOZfdlAV6f+gO/rPcCZjYDH0GFtEYpef/7MovOokHzcr5Q0qck9ZG0jqTPJxPAXXNxWtqOa+Xe3P7PJC0raU98trseytWHVyjUhy0kHSP31HoghTVZH+Pmd+1JVu4DgCslrSGpn6RNk/neMxXObS2tbZttUldLUG9dDKrw6c3a13htm027jHHc96ndwqQvBbPnWtkPV8wuMbNLgKvwtewNxREl7YebBp9XdOgr+ADzOclE+VZgF0nr1iNIKGlB0Ikxs5nANym8iM/GRzg/whv9Oin8tzR3YvEevsZrmxR2J75eKyPrOPYH3lbOBX0VeaZS6LitDryFz6htUk++yrAxcBFu1jk1bcekY+8Cz1Y499bcfhM+Iv5dvNPSDDObhpsvgHeUp6mKK3HqL99aeZjCbMIBuNL7fAvSqcb26TpjKKxRaaJ5R6wSZ1Aw4fo6Xv+ew9ckgnt3zHeks/o1FF+7ZvLPH4Df0+yDPr/BO+EfA48DjTQ38W1PHsvtP6XmbuGz+tQXr4+TgT1aeJ0f4+u/wF/kU4A/0dycMxv4+DMFZXcb4Gl89uR1fGT3AJqvtWxRO66DsyiYwp2Al8O/ad6uapnNq1QfjsVngcCdiEzF12L1xBWPE8wsb47XHpxBYU3s13Czw+l4W7wMX/PVXrS2bbZlXc1Tb10MqrD/rr3o245fT/zi3l3ms3mfpXb9pRulnfBUInMuNiH9vp1+18lHkjQA9858Oouaa9eURjVCSQuCTo6Z3Yp7/7sReAdX2D7CvdO9mOJMx0c1z8Rto2fjHeGncQ9jB5lZ3rXUyJRe3tyoVo7AX+Af4x7CrsM9K7aWe3HHG6/hStZ8XDm7EdgtKazlOA/4Of5AnImXzR5JvlJ8DffcNqUWwVpQvjWR1vnsh69Lm4Hf35FApfV3LWFXvMM1He/EXQl8rlaZkxOPYbiTkNfxtTbT8M73183s2KJTTsDdnn9cFI6Z3Y93+q7FX1xz8fr8LK6k/6iunLWci/EX7LssqmiclI5NxMvsDuAzLbmImTXhayOew8vtFeAoCko/pJmmdD8+BxyPm/pOw+vam7iH0+OLzhtJy9txLbK/jDsPeSzJMR433ckPipQyKS6mUn24Dzdf+jOuuGbPt3/gnya4vhVZqAkzex+v37/A3dDPxsv+VfyZ9JV2vHyr2iZtWFfztKAuBlVYbtlufHm/cksTW8fqg7vxuT26jJJW7zrt1q7rzgYjit8Tp+Hv7bspLFtYoWhJQLU0Kl/YrOu46wyCIOgqpFmh3cBdzHesNF0XST3xtYf3mdncFLYv7hW0N64kDmmJkr84kLQP8EA2SCJpG7xTsjw+IDKkyJlMEADuOGT06NEdLUan4rU357PFIR8zc1b1uPVweeMAvvmldpyma0MkPWFmw1p6fmNj43Tqc5M5fcSIEQNqjSzpENxr6Wlm9ovkxfmn+ODHw8ACM5uTrBaOKpHET/EBk18Dh5nZTZKuxQeH1zOz12uVJWbSgiAIgqD96I1/W2+6pLckTcbNY3vjs0bHdlYFLXE9MFXSBEmTgNG4ggZwSihoQVA7663VnbO/V89n/6qz1449lxgFrY24g4JDpmosoHbT4Yw78Znp4yQdh39yaBxuhjyTwgzy7/Dv1X6Jwvc9r8U/j3QjbjlxWvrcyiHAQ/UoaBBKWhAEQRC0J7Nxr15v4spNX9xs8Drg02ZW/C2szsa1+HqpgfhHlN/FzR13T4vqgyCog+99rQ9faKP1Y2sP6cY15wxsk7SWIH5NaU+npZhF4cP2NWFms3DFaxq+Hn0i8KWiT6hgZqPN7K9m9ld88ArgOTN72czexc2kB+Fu+J8ChtcjB8R30oIgCJZKzKyho2UIIJk4Du9oOVqKmdXrGS0Iggp06yZu+MVAjtBU/nLXnOonlGH9tbpxz5XLsupKXW6+5X+4c6Fy30nLmAHcjjulqgsze4ASDoPKLR0ws1HAqKKwWyj62Hu9dLk7GwRBEARBEAQdRa9e4s+/HsglZ/RnQL/6lwx/80u9Gf2XQay1evt+e60zkj5MfRSugE1nUdPHBRQUtKPq/ZB1ZyIchwRBEARBEARtSjgOqY03J8znN9fO5JrbZzN5Svk+effucNDuvTjpyL7sMqznYpSwbWmt45CMxsZG4R+qPhn/JERf3AzyDuBXI0aMqHsGrbMRSloQBEEQBEHQpoSSVh8zZhr3Pz6XJ16cx/OvzmP6TKNXT7HuGt3ZZtMe7LJND1ZbecmfOWsrJa0rEGvSgiAIgiAIgqAD6ddX7LdrL/bbtct87yyoQqxJC4IgCIIgCIIg6ETETFoQBEEQBEEQtCEzZhqz5hh9e4u+fep3DhIEoaQFQRAEQRAEQSuYNdu48c7Z3P6f2Tzx4jzeeq/gdHCdId0YtmlPvrh3bw7Zsxc9eoTS1loaGxuXAY4EvgesDvTBv4s2Af++2bUjRoyY0nEStp5wHBIEQRAEQRC0KV3FcciCBcYFf5zJ2ZfP4KNPqvepV1u5G2d/tz/DD+6zGKTrfLTWcUhjY+MA4ALgq7i7/f4lok3Hl3TdAJw4YsSIaS29XkcSa9KCIAiCIAiCoE7efm8+uxw5mZN/Ob0mBQ3gnYkLOPonUznguE/4+JPiT3wFlWhsbFwFGA0cgbvcL6WgkcL7AocDoxsbGwcvHgnbllDSgiAIgiAIgqAO3nxnPjsfOZlHnp7XovP/+eAcGo6ezEehqNVEmkFrAtYBetd4Wp8Uvymdv0QRSloQBEEQBEEQ1Mis2cZ+x37Cm++0TsF69pX5fP57U4ilRzVxATAUqPdL3j3TeRe0qTSLgVDSgiAIgiAIgqBGfnrRdF4aO79N0rp/9Fwuun5mm6S1tJKchHyV2mfQiukDfDWlUxVJO0l6VtJsSU9K2rpMvDUk3S5puqRPJF2fO3awpNckzZLUJGnteoUOJS0IgiAIFjOSTpQ0UtKJrUxnpCRLW0ObCFdI++CU/khJg9oy7cWFpOFZHkoca8iV3SLHFydtVR8qpD8ql9dS28gqcWdJelXSbyQt3x4yLim88fZ8fvPHtlWqfnzhDKZMC7PHChyJOwlpDQuAr1WLJKkPcDMwEDgJGAz8VVL3ongCbgX2An4JnAp8kI6tAtwITAF+AGwDXFOvwKGkBUEQBMHi50RgRPrtrByMyzgCGNShkrSc4RTy0Jk5kc5dH3oD6+Hy3S2py/YfL71pJvPbZhJtIdNmGNfcPrttE126+B7lnYTUSn9qa1/74YrZJWZ2CXAVsDbQUBRvd1z5+jVwLnC5mWXpfwVvM+eY2UW4MreLpHXrEbjLNrIgCIIgaAvSyGuHYGYjzUxpa+ooOVqCpB7Fo9OLEzNrypXdyI6SowM4Opfvavk/GugObIvPCoB3THdYDHJ2Sq7/R/soU9f/Y1a7pLuUsPpiTCczS5yQft9Ov+sUxdsk/X4BmAFMkfTdOtOoSChpQRAEQZekyKxrR0l/ljRZ0lRJN0laNRd3aC7uKEnHSHpZ0lzgyylOf0mNkl6QNFPSDElPSfq+pB4pToMkA9ZKSa+VS3dc7npDJP1e0huS5kj6WNKdknYtykNJc8dcWJOk/SU9nmR6XdKpyVSnUtkYcFQu6I1cmkMlDZB0jaTnJH0oaW4quwckHVaU1vDcucdK+pWkd4A5wBopznaSHklmdeMknVyUt+FFaX41XesT+bqRVySdLalf/n4Bu5UoE8vfixLmfk258I0k/S3VifckXSlpmSJZNpB0V7rf70o6R9I3S6VdopxrrQ9D07XHp/owWdK9kg6qdB/bAjNbYGaPA/fmgtds7+t2Rt6ZOJ8J77ePWeLTL89j7txwIFKGthoIa8matuxZWXxzsrTmAocAbwAXSNqgjjQq0qOeyEEQBEGwlHI7sGLu/5eAzSVtY2YziuJ+luYKDJL6Aw8AxQvMt0zbZyR9thZBJG0IPFQkzyBgX2BvSV81sz/XkhawFXAHhU7COsB5wDvAdTWmUYoB+DqRPMsCu+BmPX3MrNQajJ8BK+QDJG2EKwCZOdNawPlJxkWQdBFwfFHw+sCP8PLZddGzWsyjFEw9BwDfSPv/l2RZCbgfWCWF9wV+SBnZW4KkTfD6sFwueFlgD2APST8ys3Pa6nqVRMntT1wM1+t0PDOmZe72a2H2HBgzbj6brR9d8xLMwttWa6llGvSN9Dsk/Wazb2/IrSYWmNkcYFwK/4eZ3S5pe2BzfBatbBr1CBszaUEQBEEAr+LKwRDg4RS2EakzXsQK+BqEFYGVgbvxtQ6ZgnYXsCquED2ZwvYDvpyZ2AFvpvA3cyZnQ1PYb1Pan+DrHvrgSsjL+Hv7d5J61ZivZYBz8A5+XrGpuIA+yZhXstbOyTkOmAochru27pdk3BE3+wFfcF+KAfh6jQH4GqeJwE8pKGhXJFn3orlSAkDqCGX5GIUrR/3wxfkAw4DjzGxcysP9+TxlW6W8F/E//F5uR6GDd0RuJvJECgraP4CVkgw1mXHWUR+ysjgbV9B2BSansDMl1TOzdXV+VjFtW5aLLKmbpE8De6agt4EH67jeUsPU6e070/XJ1JhJK8OE6lHaLJ078efScZKOwwdmxuHfaJtJ4Zn+zxTvC5K+AXwRmAY8hTsNmQOcJukEfKbtITN7vR5hQ10PgiAIAhhhZuMBJDXiihe4snBhUdwxwI8s93EjSQfkjp9uZu+l8DOB21L4/sANlYSQ1Bf4TPq7LHBfiWgr4grhY5WzBMD7wBlmNl/SNcDvUvhaFc6phRlJjj8DG+Oe0PLKz4ZlzrvWzG5M+68DSNozd/w0M5sM/FvSrbjb7TwH5vaHp62YvfHF/G3ByelevifpeXw9Vm/cscB7FBQXgJ+Y2SRgkqSr8Jm9VpHqw+7p70fASDObBzwoaRSuJPbA83xla69XgqvTlvE0cGSaSSgl7zHAMQCDBw+mqampHUTqOF5+eSDtaen57LNPMndKuOMvwW/xgbHWOA+ZTg3fSjOzWZK+BFycrvsC8M30DM3Hmynpi8AlKe4Y4PNmNhFA0ldwr4/nA//F13fWRShpQRAEQQDjy+yvWBwReCavoCVWKnP+m7n9lWuQY3lqm4VZoXoUAF43s8wX3fRceGvXeJyGz9CVo1z6T5UIy8p4qpl9nAsfXyJuLWVYa9nUwpjcfqnyy9ePcnWoNeTrwztJQcuot25lHG1mo1ooTz8q1E8zuxy4HGDYsGHW0NDQwst0TpYdPJcRV05ut/S/9LlPs+JyYeRWgmuBX7QyjW7AH2uJaGYP4KaLxeEq+v9gqXjp2C3ALfWLWSBqQhAEQRA0Hx7P708qEbfUUPcHNaSVX8dTzq7pIyBTql4t4YVPQDcz+0eZ84uZu/CCiyqW1agU/8u5/YOB3km2D6ukWarssjIeWOSUY40ScfNleHiZ8tk2F6dV9mNmNjf/t0SUfP3Ie44rJXvFS5UJz9eH1dTcG2a5utWWHI0rZqek/xsAfy92ntJV2Gy9HvSu1dC4TtZctVsoaGUYMWLEFNwKoaUuMGcBN6R0lhiiNgRBEAQBjJB7VFyd5t/UuqfG8+/I7Z8tabCkocAZufC8YpUpMyumawJuQkPBi976kn4haWVJAyV9StL3ae5lrz3JK1yfkpp5hMzP6EwGekr6KS2bxcrn52eSlk0mkJ8vEfeOorg7SeojaQ1J+0m6ATi8VB4qrbtqBXnZR0paXtLWlF7LWIlK9eE/6e/yeD1dRtJOFEw951Ewz21zzGymmf0K+FsKGoI7R+ly9Owp9tiufbS0fXZqJ+1v6eFEfPZ4bpV4xczF15Sd2LbitD+hpAVBEASBe+R6C3eKsFMKe5na1/n8luZOQt7DPXltk8LuxNdvZWTryfoDbyfnDaNS2In4DAq4Q4z38W9UPQ38ijq/tdMK8mvebgMW5NzC35o71oQvmP8uBWcW9XAWBVPCE1Ia/y5KywDM7FHg9ylsbdzr4UzcvPCfuFOS/FKOfB6eSuXc1AIZy3EBfq/BlcoPgSeAvJ/2WmbzqtWHzAz0p7hDmby3x59m6ylrpJTjkNtqOO+HFGb1vqfcJyq6Escd1j6fRWyvdJcWRowYMQ3/pMZYavPSCD6D9jrQkM5fogglLQiCIAjc+9YNeAd4GvBXYI8S7vdLYmbTcY97ZwIv4Z2IWbhidQpwkJnlO+4jcQ9gH1CEmb2Eu+3/Pd4hmZPkehG4Cji2zry1lJtxb4LjKXTOM84Dfo57S5uJe1HcI8lZF2b2Mu6A4zG83MbjymleEfwwF//bwBHpmp/gI+Vv405WTsUV4oyLgUuBd2ml6WMZ2T8AGvAZ11m4Qn0ucFEp2SswkvL14UXcUcxV+EDCPDzf9wEHm9m5Lc5AHaR6mXn87EfzWeIuwwG79mLLjdrWpcN+u/Riq417tmmaSyMjRox4H/eeegP+XCz3TYR56fgNwKfTeUscqt9EPQiCIAiWfNJMRfa9s7WTa/mgA5C0D/BAMu9D0ja4Cd/yuBI4xMw+qpBEhyFpD+AJM/sk/V8fVxTXxRXDzZKi1aUYNmyYjR49uqPFaBeefnke2375Y+a2wWfTlhkgnr91OdZYtaavNizxSHrCzIa15NzGxsae+KDXqfiM+YAK0afhytovgF+OGDGi/T5y107ETFoQBEEQBB3N9cBUSRMkTQJG4woawCmdVUFL/AL4SNJ7kt7HPUKum46d3xUVtKWdLTfqwQU/rKQf1Eb37jDqZwO7jILWGhobGzcBngN+jH9gvtoNGJDi/Rh4Lp2/RBFKWhAEQRAEHc21uHIzEP8+3Lu4uePuZnZJRwpWA38BnsXd8i+Pe3z8F/7NpFM7UrCg/fj2l/ty4ekD6NbCnnSvnnDDeQM55DO921awpZDGxsYd8W+NbUD930rrj3+38bGUzhJDmDsGQRAEQRAEbcrSbO6Y55Gn5nL0T6fyyrjiZZvl2WaTHow6eyCbrd/1Pldcr7ljmgH7L9VnzmphKrD9iBEjlojZ7ZhJC4IgCIIgCIIWsONWPXnm5uW4fOSAqg5FdtqqB9efN5DHbhjUJRW0eklr0G6h/tmzcgwAbk7pdnqihgRBEARBEARBC+nTW3zzi3355hf7Mv7d+TzxwjxeGjuP2XOgX1+x6brd2WbTHqy6Uqw9q5NT8O/yqVrEGhH+oflTgHPaKM12I8wdgyAIgiAIgjalq5g7BvVRq7ljY2NjL2Aivka1rZkMrDxixIh6P4y9WAlzxyAIgiAIgiAIOhOfo/30lO7AweUOStpJ0rOSZkt6UtLWJeJI0jmS3pE0S9LLkg7LHT9Y0mvpWJOktesVMpS0IAiCIAiCIAg6Ewfj3l7bg4G4ErgIkvoAN6c4JwGDgb9KKrZV/QzwQ9wT7Q+A1YFRknpKWgX/OP2UdGwbCh+Cr5lQ0oIgCIIgCIIg6Exs387p71AmfD9cMbskff7jKmBtoKEoXqZDvQ7cA3yCe49cAHwF6A2cY2YX4Z8T2UXSutRBOA4JgiAIgiAIgsQTr87iwedn8dTrs/lo6nx6dBfrrtqTYev3Zt9h/Rg0IByALAbWbOf01ygTnpklTki/b6ffdYB7c/HuBi4GvgN8CZgFHGhm83OmjaXSeL1WAUNJC4IgCIIgCLo8f75/Kuf9ZTJPvT67bJx+vcVXGgbSeMTyrL5idKPbkfbWhGu9eZlnyWJPixsCR+DK2qXAb3Bzxw3rSKMiYe4YBEEQBEEQdFkmfTKfg898ly+f+35FBQ1gxmzjqrumsOmx4/njvVMWk4Rdktq/Dt4y5pUJfyP9Dkm/q2fhkvpI6pX+H4R7nvyjmd0K/DvF3aRSGvUIGEMAQRAEQRAEQZfkvY/msfsPJ/DyW/V5Y/9k+gKOPH8iEz6czw8PXa6dpOvSjMfNA9uLt8qE34m7/j9O0lTgG8A4oAlX7F4ANqNgtnicpL7AZ4E5uCL2NnAucJqkwcAhwENmVrOpI8RMWhAEQRAEQdAFmTff+OzId+tW0PKcfvWH3Ng0tQ2lChKPtXP6j5YKNLNZ+BqzacBvcYXtS2ZWPLN3C/ALYChwEfARcISZTTKzd3HnIYOA84GngOH1CtjplTRJDZIsbSM7Wp5ySBoqaWTaGjpano4g5T27Vw258CysaTHJ0ZS75tDFfL1smyHp+VQmfYvi58tpgaTNi46/lx0vc719iq715/bMXzXSt0Cyuj+oFekMz+VpeNtJCJLGpXTHLY7rBUFQP7l2armwVvcBUlsf2V59iKJn+vAWpjG8tfkM6ufnN37ME69WNm+she9c8gHvfVTOei5oIbfh3hLbg6nA7eUOmtkDZra5mfUys63MbHQKl5ltlvbNzE4zs9XNrI+ZbWJmf8mlcYuZrWtmvc1s13pn0WAJUNKWIIYCI9LW0KGSBJ2BvsCmeH24vkI8AY11pn1E0f+DJC1TZxptycEU6v6gDpQjCIKgFMMpPKOCAIAPp8znnJs+bpO0Ppq6gLNvbJu0goXcjruzbw/m40pgpyaUtBpJH7dbYtJdnGR5MLORaZRBZtbUwWJ1FLsDPfHvbGRT44dIWr38KRwsaataEpfUH1eK8vQBvlinnF0eMxuVq6+jOlqeDDm9qscMgqUfM2vKtdORHS1PsPTwh7unMGtOXc72KnLtvVOZNrO9dIqux4gRI+YA5wHT2zjp6cAvRowY0XIb18VEVSVN0qjcFPyOkq6T9LGkDyX9NX1VO4tb0iyhkrmCpN0l3S7pfUlz0u+dtXzwTdK+ku6S9FE6d5ykiyStWBSvUdKjuWtMl/SspB/lO0PJZDGTc5SkYyS9LGku8OVKZQTclwsaUZzfIpO4zSTdLWk68K90/DuS7pf0jqRZkmama58naWDR9RaaD0raX9LjKf7rkk6VpFzcFSVdLGms3ARviqQxkv6knJvQ1DH8hqSHJH0iaXYqz+tzcfImHYdIukrSJGBmieMNZcpqL0mjUx7flHRqiTgbS/qjpAnpfk1MdW2LEnG/LunVlN5TkvYpd5/KyJOX+VhJF6b69JGkX8u/HP/ZVF+mp7LeuVKaZjbPzP4FPJsLLve9j/n4bNrIGkU+BBiQ9q+m4M61eHatLJJ6STo53Yepqe68KulXuTiHSbpH0lup3sxOdehS+SLYLJ4BR+WSfyNXnkMlDZB0jaTn5M+MuZImS3pA0mEVxOwh6SxJb6d7+7Ck7UrkZXg6NjXJ+LqkC1T0DChTDmXNHSV9PuX/w1QHJ0i6RVLF1eFq3s43kj/LpqX6dLlyM55q/lw8U9KP5eaY84AdU5wVJf1G0mspf1Plz7KjS1x7YErnuXTPpkt6obiNqfbnZkOK916K94GkxySdm4vTV9I58mfKtHTNsZJultSiD5Fq0efwkXLT4ZmSXpJ0VIlzdpH0tyTj3CTzjSp6ZqiO91mK/83UTj5K5T8h1YujiuJtL+lW+Ttmrvw5PkpF5tYl6sff0j19T9KVRfWjm6Qfpvv5Scr/eEl3SDqgKN2a7mmFMs/XxVGSvp3SmC7p75JWlbShpH+nsFclfatEOrWWg1Lexqd8PSRpWA2yjcyFV31nZnUJ2C133kJT8VzYcpJ+merxLPl78n5JB5eQZwd5G5yVyuj7tZRxURobyfsAMyW9K+lsfHCvXPya76+qPLskbZn+v5bymbWXW7J7IGlwyp9JurMo/QNzZXh6vXnvTNz+aNv2/afMWEDTszPbNM2AX+IOPtpKm16Q0vtlG6XXrtTr3fEfNDdn+kL6/5mWXFzSCfiiPOWCVwb2xT8yV9Z+U9LJ+GK8PGsBxwMHSNrezCam8MPw7xlk9AQ2T9v6wCIdHtxLyyKdgTaiCVihKOxAYNeisA2BU4FPA3uUSGcr4A4K5bcOPurwDnBdCrsG2L/ovIHABrgZ3hhJAm5i0dmYtdJ2eIlrX1EiD9XYBPgnhXq3JnCepAFmdgaAXAG6GzcXzFgJr2sHSNrbzB5McYfjX4LP2BIvj5baHJwF5F96J+HltC+F73UMA+6QtLaZVbtOvl5PLBPneuBI3GRxGzN7okqaeWXsArxMtwMaJK1hZuW8FblAPuv5b2CnokPr4WV8cvq/O4u267WBb6VrbWFmc6rICq5QHlkUtiywC7CLpD5mdk2J8xqB1XL/dwT+I2k7M3s+5eUy4Jii89YBvofPTm5vZu/VIGMzJJ1PoRwyVsMV5O9Te/16kEJ96g98E1hf0p5mVjzc+m2K2pNcYXgMb4MZvYDtge1T/r6V4q4IPETz5xx4/dgfX9xc83NT0pp4W823wxXTth7wwxR2fpI9z9ppu4/WL/z+HM2fwxvh36F53cweSnk6An/O5QcdB+PP/YMl7VtmZr/i+0zSl4DLi85ZLW2fpGsi6VDgBpp/02fVJPeBknY0szElrv9o7voDcA9iAP+Xfk8Gzik6Z420vZzkr/ddWAsH0LzMP4ubHQ1J+QKvA5dKetXM/pPkqKccik0PdwL+Q/NnZjVa8s5cBEkrA48A+YHh3intXSWdama/THE3wZ+f/VK8tYBfAe/WKnS63v14XwdgFeBH5dKo5/7W+OzaKP3Pk3mf20fSMDN7SdKN+L3bO73vMtfh2YD1PGBUTZnuhCxYYDw9tvVr0Yp54rXZfHa7/m2ebldlxIgR8xobG78A/JfCAHVrmA58YcSIEUvEAsJ6zR3fwB9kG1DodO4padXyp5RG0hD8wSO8sX8LWA5/qH8d+KDCuWtQeHn9C39g9aHw8Fgb+EnulNPxzsqyeCdnPeDpdOxIScuXuMwKuPvMFfGH6d3l5DGz4XinNqOxinnGm7j7zn7AsSnsAlzJWB5XIoekvAHsLmnLEuksg5fDcvgDO+Nruf3sJXYLnv9lgC3wB3n2BfQvUVDQJgB7441hPcqvlxKuvPRL6dXCSsAZSY69STNwuIvSldL+FXjH8E1gG/xluRVeH/rgX3dHUjfg7FzaR6a8nZqu0xLm4OvIts6FHYArvMsBF6awZVlU8V2IpB6S9qVQLo9XWDD6OK5YApxZSTj5DFamOL1qZs8CN2eHga9WOj/xXQoK2ovADrgCsSlwSS7eDbjytyJeHwfjM3fgHaH9wRfRkjqribVzdX8cvjj3MHzNZj/8Hu4IzEjxTyojZ88k2yDcaxLp/DMBJO1IQUF7k0LbyWRciyrlWQpJ21Lo5EzB28Yy+IDCSTm5a+Eh/NmxEZB1ThvwTm8xK+D3Zlm8E/4cPmiQKWijUpxP4fkFOCaVA3heMwXtIXwAqj8+qPCXlLd6npufpqCgfRlvh6vi9e/inNzZ8+UxvN31T/n9NvBSiXzWy6CU1iB8ACrja7DQ/Pci/F02D+9oLkPhudobuKxM2tXeZ1nepuFl2xsvs0MpWED0A36PKyZP4nnvjb8P5uB1styI7f/wMt0OyHqLR6RBs/z1x+Hvg774M3k4SfltwbuwFlbATapXovBNn0/jz+AheJvI+EqSo+ZykDsXOi2dPxvYB7+/V1BfJ+wCqrwzzWxcekbdn52Uez5l5XwmXg/m44p635TWA+n4z3J14qcUFLRLktx74O22Vk6ioKDdhj9jt6aEglrP/a3j2fUkXuar4vdoGeC4dKwf3hcD/zAveNs6Jl2jL/5tKIB/JA92SyQTJ89n+qy2M3XMeOO9Tm9Bt8QxYsSIF/E6O5WWz6hZOn+flN4SQb0zaWeY2VgASQ/iDzTwB0e9jXVfXGECuM7M8iOWV5eIX3xuz9z+myXi7J3bn4o/cLbGH+j5kb5u+Gzaf4vOHwP8yMzavhXDCWb2Qtp/Of1+gI8sbo+/HIvvzYYUFMuM9/F7Ml/SNcDvUnh+5P0NvMO2A/4wfxHvAF6QG80/KBf/x2Z2T9p/nfJmeL8ys7vS/nNl4hQzATg3lek9km7FFYte+Ijls/jLPctDqVmlzdMMw3IUZlqeMrM/pv3fSDoJ7+jWy9Vm9iKApIkUXqRnmdlkSf/AO9JQ3nzxvqL/TTRXmksxAu+4759etOX4KoW6e3Pu9xdp/wiad2RLkb/X3zazbKbjxbRlvIsr1LvhI73FpjjFMzblmIF3Qv4MbIzP4uY7I+XSuSKTTdIP8U53T2CvdDyv6PzWzJ5Jcb+Pd2JFBUW6Avny+bWZ/TXtT8U7hfVwqpl9AHwgNyXNnnF7AX8rinuPmWXK6BQANTdpO9nMPgI+kvSbnCz747MAebmPMLPsmfgEhXZUz3Mz/8HNY/EZypfxAYd7c8fewAecNsY7sM+n7aoaZ1qr8YSZ/R5A0nUUOvfZM24nCrNR/zSz29L+ZZKOxTvxG0haz8xeK0q72vssK4P++LPzCVzxvNvMPsldPxvk25rC8zzPXiXCwO/pe8B7kp6nMCg1GHgvd/3V8LJ9Fm+jfzGzrMNd77uwFh4xs9sBJD2OKwIAF5rZBEn5ups9B+sphx1wRQP8nt2drvUT4AQqmP0V0ZJ3ZikOTL/dKTxX8/TCn4M30nx27kepHtwn6RZqNznPpzHCzD4EPpR0JYsq1PXc31qfXe/hs7YX4INnzbwPk57JZvaM3CNzA/B1SWfgz91Mkb6yVOYkHUNS6gYPHkxTU1OpaB3OB1O70dxYo2145933aGpqi/GpIM+IESMeaWxs3B5vo2vgz+VamY6bOH5hSVLQoH4lLW+ykTfmreb8otR1Buf26y20latHcdMhSTsBd1F51rD4IQXwTLGCJl97VmwCuXsLnGQ8VZTuOrhpVCk5Ksn4eu67DeXuxzfxmY4NgR/kwt+UdLCZPU3L7sVT1aMswltFZTo+t5/NWNbCCriSlvF20fEJtExJG5fbzxuWZy/GfKezd41p9qfKjLWZPSnpdty0q9LsT74T8IKkzdL+WLwTvVkaPX66QhpV77WkZSnMApWjUl3NcxqLmmzlKffsWFg3zGyGpA9xZXGApN40ny3Nx50saQo+sl1rfcrTmudSMePL7JdaJ1SqPWV5nJYUtIx8Ry3LYyb3jJyCVkzNz81UJ3+Kz0w3kPNYmwZXDjWzebgJ1Sr4TMt3c+lMknR41gFvBdXeOSXrQSKbYQXPe7GSVi3tS3AF4PP4QEs22DJb0kgzO5fayrSPpP5mVrwAptr1z8QtQPagMLsBME3Sd8zs2hqvn70Lh7PoAGhjCWuPcbn9RZ6DZjanMNm38DlYcznQ3Kx34bPbzGbm2nlFWvHOLEXNZZj7nZpT1GHRd1AtaRWfVyqNemSr9dl1Ez4rUY58uV2At/2V8XZwaAqfgH/wdxHSgPvlAMOGDbOGhoYKl+o4Zs5eQLdLx7Kgjf18bLr+ajQ0fKptEw0An1FrbGzcAjgFfzd1xwd+yzEVnyE/Dzh/STFxzFOvuWN+HrfUDFPewDff+Sr1xfD3c/sb1ylH3r7+x3nzhZwZQ/Zw+xKFfJ4HDEzHb6lyjXpXf9Y842ZmxWkfROHBeB2wfJLx11WSWng/ys34mdl/zWwjfDR0P3wtyTR8tDibdWnJvWjJ6tghOVMeaD4bNYnm9/WeMve1W5qFnJRPt+g6lTwpVqJkA06d0VrZHVcQMlORTwO3Supe/hTAR4QNf3mWWgy+Mc3NMP+Iz2A+R/P2VW00t5Z7vTuF9nMvsGoq+++WiV+p7ucd7hwM9E5pfVhFzoV1I5lSZR2RaWY2m+bm0Pm4g3DzHSi/DrASrXkuFbNmmf1JxREp3Z6yPA5Qc4cl+bSyPGZy90vryUpRz3MTM/sZBVOsL1P4lMQhJJM3M3vNzLbFh6T3Ak7EZ6FWpGCm2hqqvXNK1oMS/0vVhYppm9ksMzsUnyHaGTfD/y+umPxc7rE1n+4VFZ5Zi3goMLNq159kZp/BFdHd8RnNl/GZjN+nZ0pd97RGyj3vKj0H6ymHks/uZEpX6zrnet+ZlZ5RmezTSM+nEnJnJr6Z7APTYNYi+aiBcu+uUmnUc3+rPrvScyRT0N7Hzdy7U37Jwt8p+Ab4PgXrhKtt0Q/7LlH07d2NjYa0vRPdrderdfw2aAkjRoyYO2LEiHPwev8N/L00Fn+eW/odm8K/Dqw8YsSIc5dEBQ3qn0mrRn4Edy+5J6ZlKb3u5F/4zEQv4GuSHsanMXvh0/pP5EwCi7kLvxE9gVMkPYnbjy+Lm8sdho8GnkvzF8s0YF4yI6rbFMp87dnwMofznc6NJfWqw9wnL+MMYJakHVjU4ULdyL1GPYabffwHH739Dv6izzoxf6PgHORsSRPwRe0rA18zs7NaK0diCHCqpGyEOlu8PAd4wMw+kPQKvkZkL0knUliYvB5+zzbF7+8ruIOU1YCtJH0Nt+//P1o2i9ZmmNkUSafgI5Bb4Z3cb7CoE4L8Oc+kGYrP09wcN6OayWTGV9JC93Ljg3+jsCbtYknfwBW9NYDPmS+Qz9fHWcB0SZvipkilyNf9T0l6MzdokE9rMtBT0mlU74z9X5pdHIOvzcpMfjJT3DvwtaYA35X0b9ycIVvnCsmxQp38Dfhx2v9+MkO7G3+2fB74s9XuhOFcuQe85Wm+mP+eMvGLuQOfCQc4P9Wp1Wn+PM3y+DcK60qulfQd/EW1AbCTmV1CHc9NuYOEw5IMY4EX8E5x9pxYE0DSD/AZrP/hMxvP43V1VZorz6MoWCG0xPqgHA/jzhCWA/aTdBD+nPsK3vYAxpQwdayKpC/g+bgXeCZt2+NryIQ/zx7JXf+oZB72d3yQcgN8YKIX7sym3ut/E28/D+Hl+yxubrYRvnZoReq4p+afmRhVrxw1Uk85PIY/V/rgJt57p7AR1G7qWO87c+EzqoS1wR24ed4A4EpJP07x18aflcdTUGLuozDw9HNJP8Kf75+vUe4sjcxTbaOk/8Pbyv+ViFtPX6fqswsfDDIKvgCm4PWo5DvezBZIugifUctM8Q34Qx357bTstnkfXhzfFlbZjgS7bFbrBG7QGpL7/L+kbenFzCpu+EPd0ja0THhDLvy+XPh0/EEwPRc2Mhf3u7g7TCuxNaQ4DWXOPbXMec3i4iOgxdeYj5u+FF9raC5sVLWyKSqnPviobrl8NGVhJc5dl8LDM7+9ktsfnoufhTUVpZOFj8uFvVYi3Wy7IMURXtFLxsulNbLUPa92PBc2kcJoR347Mxd3tzJlsUiecYW5+Ph84KPc/6Gl7lcZmfNlPK5E/huK61fxvS3K99658AlA3xLXPD4XfzOK6mru/ozLhW9UIh+P5I7vVaWePlSmbMelOMule1WpPubz/8UKaf24xLEP8A5dcfnm7+eEEudNBzbLxb+sQj0ZB6xS4n6OK3O9/L0/v0K61epTvi6UysN9+Mg8lKlPubRWKbrvxdulubgr4rMs1dpMPc/NcnHmA1uneP+uEO+2au+LMmU4NBd3VJnwfJ4OTzKVkmEWzdtkXo6K7zN8fVC5vL1DoT1/pcL1i/OwsH5UqDdDU9iVFdJ8qt57WqXMG8rIW/K+lbkP9ZTDyBLHZ5DrK1R67lL/O/OUEnGb0rHB+EBE2TLMpbMJzfsz2fZBqeuWKeuV8VmsSmnkn681319qeHbhg0SVyq2pSN6BuDfT7Pg91epTtm2zzTbWmXn69VnGvq+22bbPjyd0dJaWCIDRVmMd6upbe3zM+nDcXe9k/AV5DWVmn8zsQmBPfMTtA1yhm4iPHlV0JW5mv8BnVu7ER73m4QtiH8VfANemeA8lmV7GzTFfxO2qH2ph/srJMwsf1XqC+jzAYe757yB8XcosfMH4t3EPe63ld/jI8jv4jNUsfFR8BGmNWmo0h+Kj9g/jo2tz8BHyG9tAhowXcW+JT+D34i18zdKILIKZ3Y8voL8Wt9Gfiytdz+LmUz/KxR2Fz1C9nuR9Dh8xzH+frMMwX4+TOVlYjfLmgln85yk9KrQLBUcJj5tZqUX5eQ+LZU0eUz3dA7/3T+Adjtm4Mn9zivMxbhr7EF6X38Hb1Lllkr0Z97Q5nsIHvDPOA36OKywzcS9re+Av/UqMAH6Wrj0bb9d7pjLK8vIt/PMZj+Kz5JmZw2+BYdYC9/sp3VNwJxL/xpXJuUmO22qQO8+u+EzXdPx5eCU+W1nTKogk/zB8FDur49PwWYevm9mxubiT8JHus/D2PQu/dy/hrvSzeDU9N/Fy/D0+e/Qxfl8/xp8l+5nZkyneNSn9t9M15+J16dc0n/3NTHinAK/Wkv9aMbPr8Y78Hbk8vY+vvdnWWj5rdy/+DH4NL/f5uCnnjcBulszWzexPuFJ7c7ruPPx9Nhqv/79aJOXauCVt4/B7OQ9vY1fi7ZN0/VrvabtSZzk04jPhb+Pt+7+4uWxZr85F16r3nXkxcCl+/6worffxdvYLCv2EaXg9vYHkwTLFfTHJ+V+8Pb6FD0TlPeNWk30iXl//nWSfiLeXkl4467m/NT67jsBn1T5OYdfhfZdy8k6l+adurqg1r52dT63Tm/2G9asesQYkOP3Q5apHDII6kPfPgyAIgtaSzLx2A7CCi+8ujaRe+EBLf+BwM2uLwacgCBYTkjJl9T1gLatxKcewYcNs9OjR7Spba3nrg7lsduxbTJnROg8ixx2wDJcc3xJfVV0PSU+YWcmP1wfNaY+ZtCAIgiDI2BVX0K4LBS0Ilhwk3SvpPQqziT+vVUFbUlhjpZ7ccNpgerbCQ8NOm/Th/P8r5bQ3CFpHKGlBEARBu2Fm/zb3RFer85sgCDoH6+Jr9t7FP9fQFh5bOx0HbNuf2366KssNqL9LfMC2/fjXz1ajX5/oTgdtT1t7dwyCIOiymFlDR8sQBEHQFpjZ0I6WYXGx/7b9eeGyNfnOxR9w26PTqbYSaMVlunHu11fkG/ssUzliELSCUNKCIAiCIAiCLs2qy/fglp+uypi353DFnVN48IWZPPvGHGbNcY1t9RW6M2yDPnx+x/4cuusA+vSK2bOgfQklLQiCIAiCIAiADYf04vxv+hqzBQuMGbONHt0JpSxY7ISSFgRBEARBEARFdOsmBvQNR71BxxDDAkEQBEEQBEEQBJ2IUNKCIAiCIAiCIAg6EaGkBUEQBEEQBEEQdCJCSQuCIAiCIAiCIOhEhJIWBEEQBEEQBEHQiQglLQiCIAiCIAiCoBMRLviDIAiCIAiCJZopc+Zyz7sTmTRrDj26iaED+rP7KivSTeFCP2hbJPUEHgS2AT40s1Xa4zqhpAVBEARBEARLJC98PIWLXh7L9WPfZtq8ec2ODR3Qj29tMJRjNhjK8r17dZCEwVKIAbcC04DN2usiYe4YBEEQBEEQLHGMeu1NtrrjPi57ZdwiChrAuGkzOP3JF9nq7/fxwsdTOkDCYGnEzOaZ2XnA2+15nVDSgiAIgiUGSQ2SRqZtaInjlramGtIalYvf0IYyjqwn3Xpk7oxIOjHl+cQSx4bn8je8ja87PKsLJY415K67yPFgyeeGsW/x9YefYu4Cqxp3/PSZ7HH3w7wxdfpikCxoC3Ltd2hHy9JRhJIWBEEQLEk0ACPSNrRDJQkyTsTvx4mL+brDKdSFoAsxadZsvvHIU1RXzwpMnDWb/3vkqXaTKQjamliTFgRBECw1mNkS5yVgSZS5s2NmTUCnLFdJfcxsVkfLsSRz5atvMmv+grrP+897k3hp8lQ2HjSwHaQKuhKSNgKWBbqn/fFmNqMtrxEzaUEQBEFVikwDd5T0Z0mTJU2VdJOkVYvi95H0E0nPSZohabqkxyV9vShe3iytUdKpkt6QNFvS05L2z8UdR/NZk/uKzQrLmQ5K+qykZyXNkvSypCMq5LWbpO8keadJmpnycYqkegc3B0j6naSJqRz+JWnDouuVk3kLSX+S9K6kuZImSfq7pF2K4q0o6WJJY9M1pkgak87dUFJvSe+la7xYdO5muetflsKK7/V1kj6W9KGkv0paJcVrkGTAWim5tXLnjStRFj0kjZD0ZirXRyRtW6L8vyrpAUmfpHrwiqSzJfVLx4em6+5WogwtL1spc0dJu0u6XdL7kuak3zslrVv2LpYul7JtIJMxbaMkHZPq3VzgyylO/1TnX0h1bIakpyR9v7ieSeol6WRJo9P1Zkp6VdKviuJtL+nWlKe5kt5J1x9aFO9Tkm6RNCGV8YeSnpR0mdxzXdYOfiiv+5+ka46XdIekAyqVVXuywIzLXhnX4vMvGTO27YQJFhupTf0lPQ8/lnSfpO1yx3dOdXW6pD9KujG1vwvaSaSXgIOBFdP+Is+y1hIzaUEQBEG93I6/mDK+BGwuaRszm5E60/8Btis6bxhwlaStzez4Eul+uyjdTwF/k7Sfmd3TUmEl7QncBnRPQRsCfwTeLRG3G3AL8LmiQ5sBvwR2k3SQmdVqaXUZsFru/z7AA5I+ZWbvVZB5d+BOoHcueAXgs8D+ko40s+tT+DXA/kVJDAQ2AK43szGSLsUV3I0l7WZm96d4X8mdc2UJUf4BDMr9/0L6/5lyslfgZ8Dg3P8dgDslrWNmnwBIuggorhvrAz8C9pa0awuuuxBJJwC/pfks28rAvsAawOs1JlWxDRTF/SxwVJEc/YEHgK2L4m6Zts9I+qyZLZDUB/g3sFNR3PXw+3FySvNQ4AYK9Rxg1XTtAyXtmOpCv5ReXv7l07ZVSm9u+j2n6JprpO1lvG4sdsZNm8G4aS2fsGh678M2lCZYHKT28h9gbbzdTAI+D/xH0hbAh8Df8WdTE96mW/KMqpnFYQERM2lBEARBvbyKz54MAR5OYRsB/5f2v0tBQTseGACsBNyUwr4jqbhzSoq3P7AMcFoK6w6cB2BmQ4HGXPzdzUxpa6og788odFx/hJuoHAaU+rbNoRQUtHPwjusywAUp7LPAIRWuVcx0YFO8Q3xzClsZOLXKeZdRUNCOSzIcDMzD390XpY4LQKa43ILnbRlgC7yTnXkfuwSYnfaPzV3nsPT7jJk9XkKON4B1cYVvYgrbU9KqZtaUOipvpvA3c/djaIm0euNrClfAO1Lg5bs/+CwQBQVtFH5/+gE/SGHDgOPMbFy6bqZokrtu2Y6TpCHA+biCNg/4FrAcrsh8Hfig3LklqNYG8qwAnIvXgZWBu/H1e1kbuCvJsA7wZArbjzTjhrenTEF7EVdu++P16pKUt37A7/F6/mSSpTewOzAHL+dfpjQ2pqCgnQr0wdvnznidz9wkZvVqXMpnX1wxHA48Vq5g2pspc+e26vxPWnl+0CEcgCtoY4EGM/sCPvDWD/gG/lwelI7vYWb7AM/lE5DUU9JjaYb5vVz4T+SWDq9J2nex5KZGYiYtCIIgqJcRZjYeQFIj3ukE2Au4EDgwF/d3aStmbwod0oxbzOzOlO4vgRPwzuFWklYws7qHwJMik5mhTALOM7MFwE1pVmXnolPysp+etlKy31KjCL80sxeTLKfjMx/gZVVO5g3w2SOAZ83s0rR/u6Q7cGVtObyz/m9ckdo8/f8J3pF/Drgg5RUzmyjpT3gH+/OSVsIdr2QmfqVm0QDOMLOxSa4Hc/KvRYmZyCpclc3gSboZV9iytKB52Q9PWzF7A7+u87oZ+wLZx7KuM7PLc8eurjOtam0gzxjgR/nZ1yJzwdOzWVVJZ+KdT3Dl9QbgoFzcb5tZpiC9mDZwJW75tL81PtNVTFbn3sIVsR64Itg3xX/SzH6Ui/9G+l0N+CnwbLreX8qtvZF0DHAMwODBg2lqaioVrVW8NXd+6xKYPbtd5AralaHpd0yuHWV1fC3gkxLHX8KtMTIW+baZ3HT8LHywanvgBklrmFmncAMaSloQBEFQL+PL7Gej8yvXkMYKldI1M5P0Nq6kZWm3xE5pOQpWI+9mSkui1DduWip7OaqVVSlWKnMOFGatoCDrN3GTxw0pzDoBvCnpYDN7Ov2/AFd8euEzR9n5s4DrysgyJref77j0KSt9eaql1dZlX0ze1PLFsrFqo577+kwJ89hy97jU/a1F7lrKro+k/klhPxaf3duanMmlpIeAA8xsCnAmsAmwBz7rmDFN0nfM7NriCyTF93KAYcOGWUNDQw1i1cfMefM5/qY7mTJ30e+i1cJ2q69CQ0ObLx8K2pdx6XcDSUrtKVvb+yYwIe2vlztno3wCZjYPOE/SxhQ+QL0PMAP4S0rnJFxZu1dpfWtbU4+ZZJg7BkEQBPWyZpn9Sel3Yi5sSN4ULWeSVsrcb2FakkRBQcunXe+L82MgU8xWTWvOFspWIn5e9p3KyH5oHdevVlalyJvdrVl0LP9/IoCZ/dfMNsLNgfYDfoiPFq9FMhVN8Z6hYGZ4DIV8/NXMJpeRJW8bVq7sa70n1dLKl/3hZco+37uuty68n9vfuM5zi6nnvs4sEVbuHi9yf6lN7nzZXVGm7LplMwRmdhVuTro5Pjuazf7tDHwnxZlkZp/BFcrdcTPZl3Gz5N9Lyq99W2z07dGdI9ddo8Xnf2uDoW0nTLC4+AeuqK2LO4z6K252PhP4A3AHMBlYX9K/Jf0LN/muxkrA9KT0TcuFZcrUv3Jx3wcOK9W2Km3ApeRMwevJdChpQRAEQb2MkDRE0uo097aYOfe4Ixd2laT15d4eN5B0RBqtX4tFOUTS3pIG4jNCmRL1VM7UMT+btkWR0rUIqVP6v/R3ReA0SQOTk4ViRwzFsl+YvOD1kbSOpM8nc8N6nFecLGkjSSvQ3AlDWUcoZvYK8Er6u4XcM+AASQfiay/Alc9HAeSeDw8E5uOL629Kx2FRJe+C9LsOhfItZ+pYK9k9WTHViZaSL/ufSdoplf0akvaTdANweInrImnLGtL/F74+C+Brkr4haZCklSUdKWnTOmSt1gaqkc/r2ZIGyz0wnpELzxxz/C0XdrGkbSX1Te0pmzl9hMI9P0ruIXOgpJVSOf6SdO/l3kDPx81jJ+IOF27PXWPNFO+bko7GzSj/h882vJbi9KPybHC78u0N12nReRsuM4A9V12pesSgU5Ge43vi63o3wp2C3A/saWavpUGmA4Hn8Xr9AYV2M3uRBAt8gHvgFe5sKQvL2Ax/bqwDvENp0/1qbE7R+rhaCSUtCIIgqJe18XUtb1NQdF6m0Nn/LTA67e+DKxwzcXO3P1JaOQLvZN4FTKEwAzSfghMRaO6w4LfA/BrMUn5CYTbt5yn9PwMflYj7Zwqd422Ap5Psr+MdhAOo7/tbA/G1EZMorOeaCPyiynnHUuhcXAZMxTsdPVNeTsitmzgsHRufzhmLe+ADL888f6fQ0QZ4NefpsaVk96Q/8LaS2/l6EzGzR3HnF+B17CG87McD/8Q9UeaXaeTrwlMq8RmDovTfxpV/S+lcide593Fz0Xp679XaQDV+S3MnIe/ha8C2SWF34nURfJYrc06yGfBf3ERrDIVZr+lpfwFuzno9Xs8n4uV4Cu5UBty89GTgQTzvc4B7c7JldWY7fJbiFdw89UMKgwRPm1l+hm+xsvGggXx34/oUtR4Sv912c7w/HnR2crNR49L/sWb2RTNbxcwGmVlDemZkPGdmm5tZf9yjaWbumA14lfq22T34mszD0jYZb19IWhYfyHrVzN4AnsEVuqPln8FQGuCZLunb8s+rTE3/82tcNyOUtCAIgmAxcQju0OAT3ETkr7hHrRkA6XdXXDl6Bu9QzsSVh1vx9VDvlEj3CnxNwBt4x/FZ4HOWc79vZqNxb3ev09x8rixmdi/ubOP5lO5ruLnfHSXiLsC9Ox6Pv6yn4YrPm/iI6vEs6vCkEt/CPfBNwtd+3Q3sahXc7yc57sNN+/6Md+Dn4UrlP3DvZtfnov8On0F7J+VvFvACPsOTX6OW5e+iXFBrZ9EARgI3Up93xJKY2beBI/BR8k/we/w2cB9uIntnLvrFuCnRu9Ro+mhmF+Ij8n9P8s7DFZm7cKWrViq2gRrkmI63kTNxJX42ft+exhWqg3JOX2bh68J+ADyBK0yz8Xp8cy7NP+Hmijfjyte8lMfR+KBH9k21j4HfAI/j9XI+PgjwCPBVM7stxbslbePwNjwPV5ivxBXLDuU3n96c4esWTxSXpmc3cc3OW7PP6oOrRw6WVK6UfxvyDFz52gh/Jt6ci1P8bTPhz6+LcAc9R5hZZvaYrVsbn6w7dsYHNp7FTX6H4m3yXfzd9Qd8kOV3wPA0O74mrhS2SEnTomtZgyAIgqA5aWYk+9bT2tnoZhuk24B3wAEazWxkW6QblEfSOfi6tVnAWmY2scopAe3XBpZWhg0bZqNHj64esZVcOuYNLnjxdcZMmbbIMQF7rbYyZ3xqQ3ZauTU+Z4K2QtITZjasHdI9Hf/W5sr4wMvDwE/M7LWKJ5ZP71v4INBs/NMWb+AmlW/iAzPH4LPc38AHMn6JrxkdiFe9Abg32juAzc3s+XplCO+OQRAEQdAFkHQt7gAiW4t2SShowZLOsRuuzbEbrs29737ArW++w6TZc+jZTazVvx/D11uT9ZYZ0NEiBosBMzuHRT++3hqymbSd8ZnptzMvrZJewWenX8bXAD+Kr908Hp8dn2VmcyVtjlsDjKEFhJIWBEEQBF2DNXEFbRLesfhhx4oTBG3HnquuFE5BgrZkU2BsMrEv5hn8G4NfSZ+LacIVtMPwGbTMWdXmwMtm1qIvqIe5YxAEQRAEQdCmLC5zx2DJor3MHZdGwnFIEARBEARBEARBJyKUtCAIgiAIgiAIgk5EKGlBEARBEARBEASdiHAcEgRBEARBEARBh6Nu5b95aAvoUl8iDyUtCIIgCIIgCIKOp8eCCge7lgFgKGlBEARBEARBEHQ8oaQtJJS0IAiCIAiCIAg6nu6VlLSuRShpQRAEQRAEQRB0PBVn0roWoaQFQRAEQRAEQdDxhJK2kFDSgiAIgiAIgiDoeEJJW0goaUEQBEEQBMESxZz5C7j5zXe4adwEJs6aTd8e3dlhpeU4ZoOhrNG/X0eLF7SU7mU98Hc5QkkLgiAIgmCJQtKWwMHp721m9nSHCVMHkoYCb6S/15jZ8BakcTCwZfp7gZlNbsv0lwT+NPZtTnr8Od6fNbtZ+L3vfsA5z73KV9Zenct22JJ+PaKbu8QRM2kLidobBEEQBMGSxpbAiLQ/Dni6owTpAA4Gjkr7o4DJHSVIR3DlK+M45tGny37xeL4Z1419m3HTZnLP3jvSp3v3xSpf0EpCSVtI1/rgQBAEQRAEXRJJfTpahvbGzMaZmdI2vKPlaWvGfDKV4x57pqyCluehiR/y06deaneZgjamx4LyWwkknShpnKTZkt6QdEIK30nSsyn8SUlbL9Z8tAGhpAVBEARBsMQgqQm4Ohd0tSRL2/DUYbP0u4ukRyTNBC5N5zdKelTS+5LmSJqeOnM/ktQrd52huXRHSTpS0vOSZkp6SdJRRXKtLelaSeMlzZI0OcUfJWnlKnk6TNI9kt6SNCN1LMdKulTS4Fw8ozCLBvBGTsahxTIXXWMXSX+T9IGkuZLek3SjpC2K4o3KpbGjpOskfSzpQ0l/lbRKTTeqHbhkzBvMs9rXLF356pvMmDevHSUK2pw6lDRJ6wO/ARYA3wd6AhdKWgO4GRgInAQMBv4qaYmaVg0lLQiCIAiCpZGVgLuBHYD8LNphwPbAyninrh+wOXA2cFmZtD4HXANsmtLaCBglaedcnDuArwFrAL2BZVP8o9K1KrE78BlgCNAX6AWsDXwLuD+vPLYESUcATcCBwIr4cpfBeFn8T1JDmVP/ARwODAKWB74AXNcaWVrK7Pnzuea18XWdM3nOXG4aN6GdJArahe4Lym+LkukxE4B/A+8Bs/H2PRi4xMwuAa7C21NDu8vfhoSSFgRBEATBEoOZNQBH54KOzpn4jcqF9wMeANYBBuBKGMDpwCa4EtULWI/CmrYjJS1f4rKDgG+n3/Ny4V8DkLRCShPgQqA/rtR8Gvgp8EmVbN0AbIcrUD3xDmY2W7ghsH/Ku3BlMWPtXN7HlUpYUn/gIrzPNw84BFgGODZF6U155fQNYF1gA2BiCttT0qpV8tPmvDtzFp/MrX9W7OVPprWDNEG7UcdMmpmNAX4I7AS8DGwFHIMPlIArbwBvp9912lf4tiUchwRBEARBsLRytJm9k/ZfTb9TcROprXFFKm8C1Q1YH/hvUTpPmNnvASRdB5yWwtdKvx/jDjwGAfula7wEPGNmP6tBzneBM4DdgFVwRS3PhjWkUY6dklwA/zSz29L+ZZKOxZ2wbCBpPTN7rejcM8xsLICkB/GZNPB8v1t8IUnH4J1kBg8eTFNTUyvEbs6EufNbdN648eNpmvpBm8kRtC/f/GIfjjm4/8L/L42by8ZDFzaHY4DLsz+SVgJOwAdZGnFnQr8Dzi9KVul3ifLvH0paEARBEARLIxNzChrgzgSAu6hsSdS3RNiY3P703H4fADNbIOlrwO9xJe/HuWs+D+xvZm+VupikZYGHqGwSWUqmWlkpt19sL/gmBXf+KwPFSlrFfBdjZpeTOtHDhg2zhoaGOkUtz/S58+h94z+ZvaA+7387b7QhDRsvURMoXZor7pjGFXeUnv20h9e4vChod2B14FIzu13S5sBZ+AAJuPkwKQ4UPk+xRBDmjkEQBEEQLGnUMiI+s0TYlyj0fc4DBiYTwluqpDW32rXN7A5gTXzW6yDgTGA+sBnwkwpp705BQbsXWDXJ9N0y8eudDchPI61ZdCz/fyKLUjXfi4v+PXvwpaGr1XVOn+7d+MraQ6pHDDoP3a38tihj0+8Rkr6Br58EeAWvz8dJOg74Bv6pjqb2Fb5tCSUtCIIgCIIljQ9z+5tJqtUyKL+oaRowT9IBpDVfrUHSRcCeKd1/4d7lsq8tFytH5WSaBUyXtCluxlWKfN4/JUll4mU8jJtjAuwn6SBJAyR9E1/DAzCmhKljp+M7G9U3I3bY0NVZoU+rfK4Ei5v61qSNBk7G11VenH6PN7Nn8AGZacBvcYXtS2bWMpvZDiKUtCAIgiAIljSeAuak/ZOBuZkb+irn3UZhRugsfLbtbxQcDLSG44B7UlpzgGdw5yXgJpbleJjCbNcBwBTg+QrxH8vt3wYskDSuXGQzm44rfAvwtW6342vmMtOx2RSciHRqtl9peU7bbP2a4q47sD+/HLZZO0sUtDl1fifNzH5tZmubWR8zW8fMLk7hD5jZ5mbWy8y2SgrdEkUoaUEQBEEQLFGY2QTgSOBFCrNVtZz3EG4S9XI670XgUHxNWGs5N6UzEZ8dmwE8iZst/raCTB/jzkYeSue8A4xM6ZXiZtxT5XjcnLIqZnY97n78Dnwmbh7wPnATsK2ZNdWSTmfg3G025YxPbUj3ChOI26wwiAf23ZmV+vRejJIFbUKdStrSjKyOjwIGQRAEQRAEQTWGDRtmo0e33+TF29Nncvkr4/jzuAlMmj2bPt26s/1Ky/HtjdZhz1VXqp5A0CFIesLMhpU9fuArZRUT+/sG1Ux7lyrCu2MQBEEQBEGwRDGkf1/O3Gpjztxq444WJWhLuuCMWTlCSQuCIAiCIAiCoOMJJW0hoaQFQRAEQRAEQdDxhJK2kFDSgiAIgiAIgiDoeEJJW0goaUEQBEEQBEEQdDylP1rdJQklLQiCIAiCIAiCjidm0hYSSloQBEEQBEEQBB1PKGkLCSUtCIIgCIIgCIKOJ5S0hYSSFgRBEARBEARBx9M9lLSMUNKCIAiCIAiCIOh4YiZtIaGkBUEQBEEQBEHQ8YSStpBQ0oIgCIIgCIIg6HhCSVtIKGlBEARBEATBEs1b02cwfvpM5i8wBvftzYbLDuxokYKWEN9JW0goaUEQBEEQBMESx/wFxt/eepdLxrzBve9+QL57v+Xyy3Lchmtz+NpD6N8zurtLDDGTtpCotUEQBEEQBMESxUez53Dwf/7LgxM/LHn86Y8+4VuPPs05z73CnZ/ZgY1iZm3JIJS0hXTraAGCIOi6SGqQZGkb2dHylEPSUEkj09bQ0fJ0BCnv2b1qyIVnYU2LSY6m3DWHLubrZdsMSc+nMulbFD9fTgskbV50/L3seJnr7VN0rT+3Z/6qIengXN0f1Ip0hufyNLztJARJ41K64xbH9YKOZ/rceex9zyNlFbQ846bNYLd/PcQbU6cvBsmCVtNjQfmtixFKWhAEQXWGAiPS1tChkgSdgb7Apnh9uL5CPAGNdaZ9RNH/gyQtU2cabcnBFOr+oA6UIwgW8uOnXuSJDyfXHH/irNkc+dCT7SdQ0HZ0X1B+62KEkhYEQZdHUp8lKd3FSZYHMxtpZkpbUweL1VHsDvQE9gPmp7BDJK1e4ZyDJW1VS+KS+uNKUZ4+wBfrlLPLY2ajcvV1VEfLkyGnV0fLsSQzfe48rn5tfN3nPTTxQ5756JN2kChoU2ImbSGhpAVBF0bSqJxJ0I6SrpP0saQPJf1V0iq5uCVNEyuZLEraXdLtkt6XNCf93ilp3Rpk21fSXZI+SueOk3SRpBWL4jVKejR3jemSnpX0o3xnKJksZnKOknSMpJclzQW+XKmMgPtyQSOK81tkEreZpLslTQf+lY5/R9L9kt6RNEvSzHTt8yQNLLreQvNBSftLejzFf13SqZKUi7uipIsljU0meFMkjZH0J0kb5uJJ0jckPSTpE0mzU3len4uTN9M7RNJVkiYBM0scbyhTVntJGp3y+KakU0vE2VjSHyVNSPdrYqprW5SI+3VJr6b0npK0T7n7VEaevMzHSrow1aePJP1aUk9Jn031ZXoq650rpWlm88zsX8CzueA1y0Sfj8+mjaxR5EOAAWn/aljoB6F4dq0sknpJOjndh6mp7rwq6Ve5OIdJukfSW6nezE516FJJg3PxDDgql/wbufIcKmmApGskPSd/ZsyVNFnSA5IOqyBmD0lnSXo73duHJW1XIi/D07GpScbXJV2gomdAmXIoa+4o6fMp/x+mOjhB0i2SlquSZr6dbyR/lk1L9ely5WY81fy5eKakH8vNMecBO6Y4K0r6jaTXUv6myp9lR5e49sCUznPpnk2X9EJxG1Ptz82GFO+9FO8DSY9JOjcXp6+kc+TPlGnpmmMl3Sxp+2r3oL24/o23mTJ3XovOvWTMG20sTdDmhJK2kHAcEgRBxj9obs70hfT/My1JTNIJwG/xTmrGysC+wBrA6xXOPRk4vyh4LeB44ABJ25vZxBR+GLBhLl5PYPO0rQ8s0uEBPkvzzmdb0gSsUBR2ILBrUdiGwKnAp4E9SqSzFXAHhfJbBzgPeAe4LoVdA+xfdN5AYAPcDG+MJAE3sehszFppO7zEta8okYdqbAL8k8J7ZU3gPEkDzOwMgKQA3Y2bC2ashNe1AyTtbWYPprjDgaty8bbEy+PjOuXKOAvId1RPwstpX6B7ChsG3CFpbTOrdp18vZ5YJs71wJG4yeI2ZvZElTTzytgFeJluBzRIWsPM3qookM96/hvYqejQengZn5z+786i7Xpt4FvpWluY2ZwqsoIrlEcWhS0L7ALsIqmPmV1T4rxGYLXc/x2B/0jazsyeT3m5DDim6Lx1gO/hs5Pbm9l7NcjYDEnnUyiHjNVwBfn71F6/HqRQn/oD3wTWl7SnmRX3Jr9NUXuSD4A9hrfBjF7A9sD2KX/fSnFXBB6i+XMOvH7sD/wixavpuSlpTbyt5tvhimlbD/hhCjs/yZ5n7bTdl+Rf7Dzw/qQWn/vg+9XXsAUdTBdUxsoRM2lBEGS8AayLd1yzTueeklatNyFJQ/AXvPCR428BywGrAl8HPqhw7hrAOenvv/BORh8Ks11rAz/JnXI63llZFu/krAc8nY4dKWn5EpdZATgX75SsjCsOJTGz4XinNqMxZ0Y1ssQpbwKbAf2AY1PYBbiSsTyuRA5JeQPYXdKWJdJZBi+H5fBOVsbXcvuZ4ncLnv9lgC3wTujb6diXKChoE4C98c71epRfLyVceemX0quFlYAzkhx7k2bggNMkrZT2r8A7hm8C2wC9cWX0A/weXwwgqRtwdi7tI1PeTk3XaQlz8HVkW+fCDsAV3uWAC1PYsiyq+C5EUg9J+1Iol8fNrNyAw+O4YglwZiXh0gxWpji9ambPAjdnh4GvVjo/8V0KCtqLwA64ArEpcEku3g248rciXh8H4zN34IrA/gBmJnwgIGPtXN0fB0zFB0mG4nWlD65wzUjxTyojZ88k2yDgohTWj1RGknakoKC9SaHtZDKuRZXyLIWkbSkoaFPwtrEMPqBwUk7uWngIf3ZsBIxJYQ34AFAxK+D3Zll8gOo5fNAgU9BGpTifwvMLcEwqB/C8ZgraQ/gAVH98UOEvKW/1PDc/TUFB+zLeDlfF69/FObmz58tjeLvrn/L7beClEvlcLExr4SwawNRWnBssJmImbSExkxYEQcYZZjYWQNKD+Mg7+Mv+3TrT2hdXmACuM7PLc8euLhG/+Nyeuf03S8TZO7c/FfgN3vlensKsCPhA1PrAf4vOHwP8yMza46uZJ5jZC2n/5fT7Ae54YXu8s1P87N2QgmKZ8T5+T+ZLugb4XQrPj7y/gXfYdsA7YC/iHcALcqP5B+Xi/9jM7kn7r1PeDO9XZnZX2n+uTJxiJgDnpjK9R9KtuGLRC9hV0rN4By/LQ6lZpc3TDMNyFGZanjKzP6b930g6Ce/o1svVZvYigKSJeAcb4CwzmyzpH3hHGsqbL95X9L+J5kpzKUbgHff9k5JQjq9SqLs3535/kfaPwGdSK5G/1982s2ym48W0ZbyLK9S7AatQaG8ZxTM25ZiBK3p/BjbGZ3HzM4zl0rkik03SD/HBjJ7AXul4XtH5rZk9k+J+HxierlFWka5Avnx+bWZ/TftT8YGUejjVzD4APpCbkmbPuL2AvxXFvcfMMmV0CoCkA3LHTzazj4CPJP0mJ8v+wCNFch9hZtkz8QkK7aie52be5u9YfIbyZXzA4d7csTfwAaeNgZ8Cz6ftqnIzrZKOISnYgwcPpqmpqVS0VjHtw5Z7aew2Z3a7yBS0IfEx64WEkhYEQcaY3H7+LVjN+UWp58jg3P6LJY5XYuXqUdx0SNJOwF1UtgroWyLsmWIFTb72rNgEcvcWOMl4qijddXDTqFJyVJLxdTPLnFOUux/fxGc6NgR+kAt/U9LBZvY0LbsXT1WPsghvFZVpfmV/NmNZCyvgSlrG20XHJ9AyJW1cbn9mbj/rzOY7nb1rTLM/VSxSzOxJSbcDn6Py7E/e1PEFSZul/bF4J3ozSVume1qOqvda0rIUZoHKUamu5jmNwuxNKco9OxbWDTObIelDXFkcIKk3zWdL83EnS5qCz0jVWp/ytOa5VMz4Mvul1suVak9ZHqclBS0jr1xleczknpFT0Iqp+bmZ6uRP8ZnpBnIea9PgyqFmNg83/1wFn3n7bi6dSZION7NFLBDSgNzlAMOGDbOGhobiKK3m2Zde597/1Tp21Jzd11qdhp23aWOJgjalC86YlSPMHYMgyJib2y81lDU7t5/vfK1TIu77uf2N65Qjv77nxznzqoUbhQ7Jlyg8x84DBqbjt1S5xswqx4upeWjPzIrTPohCp/c6YPkk46+rJLXwfpSb8TOz/5rZRrgp0374WpJp+ExVNuvSkntRb/kADEnr3zLys1GTaH5f7ylzX7ulWcj8opMhRdep5EmxEiXtnFJntFZ2xxWE36T/nwZuldS9/CmAz6YZsA8lOvGSNqa5GeYf8RnM52jevqo5EKnlXu9Oof3cC6yayv67ZeJXqvt5hzsHA71TWtUW/iysG5L6UVivNc3MZtPcHDofdxBungjl1wFWojXPpWLWLLNfasFUqfaU5XGAmjssyaeV5TGTu19aT1aKep6bmNnP8Lq4NX4fMydCh+DPVczsNTPbFp/V3gs4EZ+FXZGCmepi56h116R/j2pNrjTf3rDU6yroVIS540JCSQuCoFbyI7h7SeqT1tGUWnfyLwozE1+TexYcJGllSUdK2rTCde6ioKCckryV9ZO0qtxb5KX4CD4073hPA+YlM6K6TaHMbHiJjk1TOpzvdG6s+lxo52WcAcyStAOLOlyoG0lnSzoQ9yL4H9xBSOb4IOvM5U2vzpa0ZyrPoWk0va0YApwq90K3F97ZA68HD5jZq8ArKWwvSSemOjFI0jBJZwA3puOv4A5SALaS9LWUbktNHdsMM5sCnEJhdmRr4BtVznkGuDX9LdW7rGYymfGVtF6vHPl7fbGkbZOHvg0kZTOt+fo4C5ie2uMJZdLM1/1PFSni+bQmAz1TnarmdOb/kmzL4mtDMzO9zBT3jlzc70raPClo2TpXcEdH9ZIvn+/LvTwOkLS6pBMk1TM7d67cO+MGNHdEck+5E4rI5/F8Scul2dP88zTLY17uayVtmu7rpyRljj1qfm5K2kRSI74GbjxeN/+du8aaKd4P5F46++DWAH+m0C7LKYvtzrK9enL4OvU/BoatMIhtV6rowDPoDISStpBQ0oIgqAkzewdfgwPeMf0QNz1b5GVtZm/j5neGm0NeiSsP7+PmeWWdP5jZeAoL3JcD7sTN/d7BFZFvUZjJu43CSP9Z+Ij135JcbclrFEbIDwVmq4Ir+iLuxDvD4Gs1ZuDrTFrqpTDPYXh+x+MznWMpKDHZmrK/ANnamyF4Z2w6vt6kbucLFfgA+Bm+5ibvwfG8tHYHPP9ZWfwGL4OPcQcbjSSzrrSe7se5tK9N6Z5P25Rbq0jy/TAXNEJSNRPBbDatGUnpyTsF2bjEDMij6dhqwJ4VrnEh8HDa3wxfizkDN2X+Tgp/mMIszgF4uT5fIc28B7/bgAVyV/Lw/+3deZhcVZ3G8e+bhSTsYUkEQghLEsIqEJBhs0FBFkEYlUFRybAqi6MgKMhAQGQRmGEdFIGJqAyyiDubQBAEgSTsEMLWhC00IUBIyJ7f/HFOpW8qVd3VJumqpN/P89RTt84999xzz61K7q/Puee2Bp6Q/m2YRuqR+6CN8iAFd4/kfKXg8GPSfXJExEO03uM1iPS4g/dpDYZfI7Vnh0TEo0DpUQSrke75+4g0pPYy0uQltdqR1I4v0Hrv3WgWDr7acgatf/g6HJhC6jkdlNN+FhEPF/KWhqN/mnS+Pibdx3owdPjfzTVymY+S/l2bReu9wvNpDTQ/R/rDySuk3+3bpAl/oPXfl7o4f9vN2HS1ldvPmK3Wswejdt62/YxWf36Y9QIO0sysIw4Ffk+6uJpJCrhGVMoYEZeRLij/SLqYmUsaknMn0OZU4hHxE1Jv2O2kYHAuMIl0sTqSdNFORDyY6zSedKHxHOmi5cF/8viq1WcmKSAaS8dmgCPP/HcAqedlJik4OpY0w97iuoJ0AfYWqcdqJvAs6QL25Lz/ILXJUaQL9Kk570Rae66WhOdIF/1jSefiddJf7hdcTEfE/aSLvOtJF8ZzSBenT5GGT51WyDuKdFH+cq7v08C/svDzyeom349TmmRhXaoPFyzlf4Y8E1+ZXWmdDOaxiBhfIU9xhsWqQx7z93QP0rkfS7pIn0X6I8OtOc/7pKGxD5K+y2+RflPnL1oi5O1+TPq+zCtbdwFwLumPIjOA+/P+23ti8JmkgP6tXL+Hgc+Upt/P9TyG9PiMh0nB3xxSsHApMPyfmX4/l/s90qRIfyUFfnNyPX5XQ72LdiP1dE0n/Xt4DfCFCtPvV6vHJNLsjJfQ+h2fRgqKD4+IbxbyTgZ2IP0h6lnS7/xj0gyLfynkq+nfTVI7XgU8SWqDefn9XmCfiBiX8/0il/9G3ucc0nfpv6i993ep6NtrBe7Za2c+ucZq7ebt37sXf91rZzbvu2q7ea0BuCdtAS2dyc3MzMzMlh+SRpN6skqPJ7A2DB8+PMaMGbNU9zFj7jxuePV1/mf8q4ybsnCMPWjlFTlmyCCOHLwBa/WudS4gW9okjY2I4VXX3/7rqoFJ7HNol/rdeXZHMzMzM1vm9OnRnSMGD+KIwYN4asqHvDb9Y+ZF0K93L3Zcew26qUtd0y8fOthjlu9XvYw0YqUHMC4idsuzP19FGo78LHBkoZd4meAgzczMzMyWaVutsRpb1TD80Rpcx5+Tdh3pESeXkIYA7ySpN2mo9gzSZDw/BG6RNLjwaJuG5yDNzMzMrB0R0VTvOpgt9zrQk5afQ3oQ6RESpwLzIuIaSQeRJqI6JSL+R9InSA9kb6L1XuKG5yDNzMzMzMzq7qj1BnN0/6ELPj//8QcMW3H10sejaZ35FWCz/L49aRKfeZIupfXZgqWZnt/I7xvhIM3MzMzMzKx2P3/veX7+3vMV18UOR15dllSaEWYl0gzMxwGn0Pos1ZLSzYnL1GyJDtLMzMzMzKz+OjZxSHN+fyAifitpbdJjQEpB2YD8vl5+f3Wx69eJHKSZmZmZmVn9deyh1eNIz9D8jKSjSM9WnEd6huGJwLckfUR65mYz6YHzyww/zNrMzMzMzOqvAw+zjvSw56+QHgh/ObAG8I2IeAb4MukB8ZcCLcCXl6WZHcE9aWZmZmZm1gg6+Jy0iHgW+JcK6X8DtlxCtaoLB2lmZmZmZlZ/HQzSlmcO0szMzMzMrP46/jDr5ZaDNDMzMzMzqz/3pC3gIM3MzMzMzOrPQdoCDtLMzMzMzKz+HKQt4Cn4zczMzJYTkkZJivwaVO/6LA3T5s6hZeZM5oUv6Jc73edXf3Ux7kkzMzMzs4Z3x6S3uejFF7j33RYC6NerF0dssCHfGzKUNVboVe/q2ZLgnrQF3JNmZmZmtoRI6l3P/UfEiIhQfjXXsy5L0iUvTWCfhx7gnhygAbTMmsV5E8az0+h7aZk5s671syWkAw+zXt45SDMzM+tCJB0maYKkmZIel7S3pNGVhshJ6i3pdElPS/pY0nRJj0k6vKzMpsL2Z0k6SdJLeZsnJO1ToR57S7pT0hRJsyU1S7pc0lo1HkdfSRdKeiEfy1RJ90s6sJBnbUlv53pNlLRaTh8qaUZOf1RSz5xeOobRkvaTNC6X/ZqkU8r2P7KQ/yBJ10qaDMwo5Bkm6ZeS3szH2CLpFklblZW1oaTrcx1nSvpA0jN56GK/Qr6jJI3JbTYrl3u3pMMKeSoOd5S0Uj43z+Zj/zif/xMl9SjkG1TYfpSkb+S6zJD0fHFfneXZqR9y4lNPVF3/wrSPOOHJxzuvQrb0OEhbQBF+HoGZmVlXIOnrwPVlyXOBKUApGNgwIpolrQjcC3yqSnFXRsTxudwm4L6c/gGwelneOcCmEfFKzn8ScFGVcl8FdoyIljaOox/wELBxlSynRMSFOe9ewB2AgP8Fjsrb7gB8BGwTES/nvKWLoveB1Vj0j9k/iogzct6RwJk5/T1gzVKmiJCkXYC7gD4V6jcT2CsiHshlPQtsVuVYtoyIZyR9GbipSp5bI+JLuaxRQCmQKp3LlYC/AdtW2f524PMRMT8Hdq/m9A9Y9FwC7BoRD1YpC4Dhw4fHmDFj2spSs+OfGMeVr7zUZp6e6sZre+/HOn0qNbc1CkljI2J41fVxVtXAJHSmlk6tGpN70szMzLoASd2AcwtJR5ACkVNpDdCKvk1rgHY8sDKwNq2BwnGSKl30rwT8K+ni/tc5rSfwb7ke6wPn5fQ7gA2A3sAhOW1D4PR2DudsUoA2D/giKRAaQApEAM6RtA5ARNwFXJLT/x24jRSgARxXCtDK9M11WA3Yi9bese9LWrtCfgF7AysCpV6yn+d6vQZsB/QCtgHezcd7JYCkNWkN0C4jtd8awPbAfwIf5nW75fdpwNBc3gbAwaR2bMt3aA3Q7gTWATYCxuW0fWht/6LVgWPz+wWF9K+3s78l6oH33m03z5yYzyPvT+mE2tjSFDpT1V71rltn88QhZmZmXcMQUiAD8GREXAcg6WLgPwrrSvYvLF+RX+X2ovVCv+QPEXFbLvtG4NCcvkF+35sUtJWWX6tSbltKdesO3Fph/QrAp4Eb8+cfALsDnyxse0NE/LJK+W8C50cabnS3pNuAr+Zyd6uwz4sj4s68/LSkwcCm+fMGwNgK+9hS0ieAFlp7rPYh9e49TzpH5xTyl3q3ViIFkGNzvrsi4kPatl9h+dSImAQg6Wzgdzl9X+CGsu3GRsRVOe+vgO8XjmkRko4Gjgbo378/o0ePbqdatZk+bXpN+Z555hlWn/DiEtmnWb05SDMzM+saivd6TSwtRBqb9waLBmmVetfKrVkh7YXCcvHqujShxj9bblGHyoiI2ZIuAUYV1v93G9u+HgvfDzKxsFzpnrnyG6JqqR/AmhExKQ9DvQoYDPywtFLSM8C+EfE68D/AjqReyq/T2ps1S9LIiDi/jf0Ue/+Kx1IMkCvVub1zuZCIuBq4GtJwx6ampjaqVLt9nhjHFTUMdzxyt934RG8Pd7Tlg4c7mpmZdQ2TC8vrlRYkiUUDNEg9PCUDCjMGLngBp1TYbk5hudL9JcVyf1il3PaCnFIZ04BeFbbvFhFXFo5xLRYe6gnw09KEIRUMyO1SMrCwPLk8M4XJQsrqB3B3lWPsFhHPAkTEn/I+hgIHkIZzzgO2IA/9jIiZEXEwaSjkLsDhwCOkYY/nSlqP6orjBQdWWa50D2B757JTHLvRJnSj7dFuX1pvgAM0W644SDMzM+saXgDeyMvbSvqqpFWAk6gcpP2psHytpMFKsz0OkfQ1SQ9SZdhbO+6k9eL/e0qzPK4oaR1Ju0v6Ka3D6qop1W1l4BpJ6+cyNs9D7p4sy38dsG7eb+nequ2Ac6hsAHCKpFUk7QkclNNn03rfW1UR8SIwIX/cU9J3JK2eX8MlnUHrUEwkXQ58hhR03kEaTjkrrx6Y83xR0vGkAPtJ4ObCcVYLtEuK5/LHkvrnCULOKKT/ub3jqpdhq67KpVt/smqYNmyVVbls6206tU5mS5uHO5qZmXUBeVjjabTO7lia1GMuqaelNCSu1GNyKWlo3XDgc7QGHYtbj4mSTicFS31JMwuWO6udYs4A9iRNMlIc+rcIScfReh/aWRHxY0kbAV8mBYl3RsS9ZZu9SwrgyocQXhAR7c9ikRxNCrh6k4ZWlg+vvL+w/C3S5CyVlO51Gwb8qEqet4Gn2qjLpaQJVrYl3fc2qWz97cBv2ti+7o7feDCbrrIqF7/4Ane+M4kA1undm6MGbcR3NxnC6iusUO8qmi1RDtLMzMy6iIj4paTupPueBpImnjgVuJDWIG1KzvuxpN2AE0kBzWBSj83bpB6cPwJv/ZP1+Imkp4ETSDMtrkYaRvgqKSipNqFHaft3JA0n9bgdQArW5uS6PZbrhqQtaJ3q/xFag65vkoYMrgNcL2nriHivsIvnSMMjzyUNOWwhTZxyYQeO8X5J2+U67gH0J00K8gYpQLuxkP180kQnQ0jDGWcD40n30JUmbLmHFKjtAHyCNHNkSy7rjIgoH3JZrMv0fC5PIZ3LjUjB+HjgV8ClEdHwD6L6bL/+fLZff2bMm8vMefNZrWdPuqnLTfpnXYSfk2ZmZtZFSFqDNN37Q/mZWCI9U+s6UgD2SETsWM861lPhOWn3R0RTPeuyrFuSz0mz5Ud7z0mzVu5JMzMz6zrWBR4gzQjYQhpuuHJeN430bDQzM6szTxxiZmbWdbSQ7j2aRBre2BN4iTRt+tYR8Wgd62ZmZpl70szMzLqIiGgBDql3PRpVnhrfzKzu3JNmZmZmZmbWQBykmZmZmZmZNRAHaWZmZmZmZg3EQZqZmZmZmVkDcZBmZmZmZmbWQBykmZmZmZmZNRAHaWZmZmZmZg3EQZqZmZmZmVkDcZBmZmZmZmbWQBykmZmZmZmZNRAHaWZmZmZmZg3EQZqZmZmZmVkDcZBmZrYMk9QkKfJrZCF9dCl9McpuzmU0L4m6NjpJgySNzK+mxSxruWi7/P0qtcmgxSxnke/pklDpu74092dm1hl61LsCZmZmDWIQcGbh8+j6VKOhNNHaJqOB5npVxLqu+RHcFM8yav5TvB0fsanW4thuw/l0tw3qXTWzpcZBmpmZdSpJvSNi5rK+j7ZExKB67dsgIkYDqnc9Kqn3d3NZMy/mc8i833JLPL8g7alo4aZ5z3Fe7MEPuu9cx9qZLT0e7mhm1skkbSvp/yS9KWm2pMmS7pO0QyFPb0mnS3pa0seSpkt6TNLhi7HfEYUhYCPaS69Sxicl/VbSS5KmSpojaVJOG16Wd1Sh3F0l3SLpQ+D5KsWXtittM1rSfpLGSZop6TVJp5TlHVnIf5CkayVNBmYU8myV2/vtXN/Jkv4oaddiXYH7CkWfWWUY6d6S7pQ0JZ+7ZkmXS1qrrF6LDHcsa+ejJf1Y0uuSpkl6qHj+22ib4jC+UZKOzfuano9pHUlDJf01p70o6ZgK5ewo6TZJ7+Q2eSuXN6h4DCzcs3hfYd9NOc9V+fy8m8v5SNKjkr4lqWqQJOk7kl7O5/UJSftWyHNAPo73c1tPzOd3UIUi22qnkWXrdpf0+3zss/P77ZI2bqfM4vd5J0m/kfRBPuabJK1TyDuo7DwdLWm8pDnAITnPSpLOkvSspBlKv/PHJZ0oqUfZvleQdJKkMXl/M/K5vbgsX7vnNefbWuk3+6akWZLey+fxZ5J65jzdJP1A6d+gD/M+J0r6k6T92jsHS8qv4umFArSiU+ffy3PxbmdVxaxzRYRffvnll1+d9AIOAuYAUeE1IudZEfhHlTwBXFEor6mQPrKQPrqUXkgbUb6vdtKbc1pzIe2QNuo1HRhWyDuqsG5yYbm5nTYq5ZsCzKuwn7MLeUdW2Ufk9bsDM6vUdx5waIW6lr9G5jwntZHnFaBfO21XbOf3K5TxHrBaO21TPN/vVijjUeCtCul7FMo4GJhb5TjeA4aWHUOlV1POU61tAzizSr3frJB3LrBnIf+pbZQ7Bdisne96cX/F38UJwPy2jqmNti9+Ryq1/fPAijnvoEL65LJ8I4CVgLFtHONfgG65rN7Ag1XyNf8T53XFKvUvvVbO+U5uI89F7f1bt91228WSsOucUcHss6u+Tpp71xLZj3UOYEw0wP/Fy8LLwx3NzDqJpD7Az2kdan4G8DNSsLA70JLTvw18Ki8fT7o47ANcSboQO07SdRExrnNqvpBxwOeAp0gXy72AQ4GrSBd/xwDfqbDdVODzwBPARjXuqy9wGum4PwX8ntQO35d0ecQif0IXsDfwN2CTnPazXEeAbwG/BvYAbiGdh8sl/S4iRmjh3rSzImLkgoKl9YHz8sc78nG+AxwI3AhsCJxOOne1agKeBm7Ny2sA+wL/V+P2a+b9/50UnG0IbE86N9sD/wLcnPN+BbhX0oqkc9WddC6/CrwK7ATcmetwIXBARAzKvVBn5jJ2jzSMsOjwvO9JwCxgU1KAMQD4D0ln5wuzotJxPkg6Jxfk+lwA3C1pA+DsnPcD4Auk783JpDbuC1wC7FVjOwEgaQBwEel7Mhc4DriJFATtQwpcavUisB3pt/sbYGfSsR8JXFaWd03g/LzvbkBP0m9k27z+TlLg1of0vdw21+cQ4AbSd6o0pu854AjSOR5E+k3RkfMKDANKPb+n5PquAgwF9sttA7Bbfm8GdiEFeuvl5emVGkXS0cDRAP3792f06NGVsnXIS9u1pDNUxbh3XmL0hJ6LvR+zRuMgzcys8+xMumADGB0RPyqsu6WwvH9h+Yr8KrcX6WKss00iXSReQrpI7FO2fmiV7U6PiH/k5edq3NebwPn5Iv9uSbeRLj5XIF1A3lqW/+KIuDMvPy1pCDA4f34qIn6al38v6U+kAKcvKZj5azt12Zt0cV1afq1Cno4EDddGxP0AkkpBGsAGHSjjoYj4fS7jMVKQBnBZRLwp6Q+FvAPz+86kC3ZIwcD4CuXu2YE6zAOuAbYCVmPh2yj6Av1IwWzRbyPi9lzvC0m9WwOAbSStSfojQOn65PqI+FvOOxL4JinA2F0dv7drb9J3B+BXEXF1Yd3/dqAcSL2EE3O9zgLuyul7smiQ9gJwWjFYLRsueGpETMrpZwO/y+n7koK0Awp5jy37HZV+Sx05r6+TArEepECwT84/LiJOK+R/Nb+vC/wnKTB8Drg5Ij6uUD65Ta8GGD58eDQ1NVXK1iFbzH2Tt+OVqut36r8pTesu/n7MGo2DNDOzztO/sNxWoNKvhrLWbD9LzTryf8FNpIvoasqDtpLHO7CPktfLemEmFpbXKs9cYR9rV9kWFg6yamnvJX1OXigsF3sl2ugzWERzYXlGYfk1gIiYXbgtrNSbWMtx9Ja0UkRU7C0pkXQI7ff6Vfo+LDgXERGS3iAFaZDOa8XzFhHzJL2Z8/QgBSVvtbP/olp/f7WYWGW50vfyyQq9idW+m5W+l7XUuyPntUXSN0m9e9vS2qOHpAeB/SJiKqk3czNSz3PxvsZpko6LiOtr2OdiO6bbttw9r3KQ1h1xZLdtOqMaZp3OE4eYmXWeYo/CsDbytRSWB0SEyl+kYUodNauwXAwGahp+KKkvrQHaO8DmpOFVW9Ww+Yz2syxiQNnkEwMLy5Nr2Edx+NrAsnXFz6X2Lr+QpkIegB9WOSe1XCiXzCkst7XftsztYDosfBw/r3Ic3QoBWlt1O6SwfALQJ2/fXg/vgrbP53dAYd1kqpw3Sd1Jw+0gHeOUdvZTrtbfXy0GVlmu5XsJ1b+blb6XtdS7Q+c1Iq4FPgFsCXyR1t6/XUjDQImIyRHxWVJAuTupF3M8sDJwVT4fS90Xuw3jhG7bL5LeHXFt9/0ZpNU7oxpmnc5BmplZ5/k76b4OSMO1TpO0tqS+kg6UVLoH5E+Fba6VNFhptschkr6W/9rdkWFxJcW/0u+XZ28bTBq+WIvSpASl5amknoMfVd1i8QwATpG0iqQ9SZOuAMwm3XfWpoiYAEzIH7fKM+ytLGl/8r08pAk8Hs7L7xU2HyZphcLnO2kNrL6nNMvjikqzKe4u6afA9zt8hJ3vIdIxAxwm6au5fdeWtHMefnhJIX+xTbaSVLxuKAaDU0kx178D7XVtHCRpL0mrkO4zKwVpj0fEe6R7/kplf13SLpJWJd3DWeqpureDQx3J5c4ulHuEpNUl9ZP0DUmbd6CsMyUNkLQeC8+AeXeN2xd/4z+W1D/PwHhGIf3P+b04bPVKSTtI6pP/PTg5p9d8XiWtJeki0jDfFuCPpPs9SwbmfEfl87kG6b7Dm4GXcp4VqdxruFRc1n1vHuw+giP0SfbVJpzUbUee6/EtDuu2dWdVwazz1XvmEr/88suvrvSi9tkdH6uSp/QalPM2FdJGFvYzupReSOtBmvCglP8j0kx308vrkPM3s+gMcndXqMuEwvLoQt5R5fWtsY1K27RUaatqszs2VSirptkdc97eVJ71rimvP6WdczKynbYbUaWdR1Qqo0rbFM/3qCpt3VShLYvn5StUnjWzUrnDK+XJ6w6tsO5j0j1PbX1P6zm747dZMrM7VjqGarM7jqpQ1tKY3bGm80oKitv6Hh+Y813TRp7H2/sdL6nZHW35gmd3rPnlnjQzs04UEbeRZiq8kXQ/TWnY1v3k+00i3ZS/G2kmuydJF74zSNO830aaUa8j9+KU9j2XNCnJvcC0/PpvOjZ08muk2ezeBz4EfgX8W0frUqPnSLPNjSUN1Xyd1Ft1Zq0FRMR9wA6kOk+itb3/TLoo/3Uh70zSsYwltXl5WT8hTeZwO6mHaW4u82FSsNgp9+gsroj4P9KwtltJQ+nmkoLTMaQZFi8u5B1DCmxeZuEhmuS2+y5pgomZeft9ct62/Lyw3WzShBRfiIgFvVARcR5pVsd7Sd+zucAbwHXAthHxT91TFhGXAZ8h9R69m8ttIfWUvt6Bog4iTerxIel3dAvpMQcVJ9SoUI/ppN/42aTgbhapDZ8AvkeaXXN+zjuTdF/YyaTv5vSc/yUKk+d04Ly+T/rdP0YanjmP9Aebh4CvRsTvcr7f5lcz6fcwl3T/3DWk82xmS5FSUGtmZtYYJJX+Y7o/IprqWRezkvyIhsPyxw0jorl+tWl8w4cPjzFjxtS7GtZgJI2NiOH1rseywD1pZmZmZmZmDcRBmpmZmZmZWQPxc9LMzKyhRJou3KyhRMQI0iQvZmZLnXvSzMzMzMzMGoiDNDMzMzMzswbi2R3NzMzMbImS9C7w2hIqbi3S4wK6suWlDTaIiLXrXYllgYM0MzMzM2tYksZ09Wnb3QZdj4c7mpmZmZmZNRAHaWZmZmZmZg3EQZqZmZmZNbKr612BBuA26GJ8T5qZmZmZmVkDcU+amZmZmZlZA3GQZmZmZmZm1kAcpJmZmZlZw5F0iKRxkmZImiLpFkmb1Lte1Ug6SdK9kt6UNEvSG5JulrRlIU9PSWdKekXS7JznEkmrlJXVX9J1klpyWc9J+naFfW4n6Q5JUyV9LOnvkvaskG+ZakvzPWlmZmZm1mAkHQFckz++CqwJrAq0AFtHxKR61a0aSc3ABsAbwMfAkLxqOrBFRDRL+iXwNWA+8CKwEdATuB/YIyLmS1oJGAsMBWbk8gbnsn4UEWfk/W0FPAysSHrQ9SxgPWAesG9E3JXzLXNtae5JMzMzM7MGImkF4Pz88daI2AgYBnwE9ANOq1fd2nENsGFErB8RQ4GTcvpKwEGStiUFaAD/ERGbAl/Mnz8NHJiXjyEFaAHsGBFDgP/K634gqX9ePocUoDWTgr1BwCNAd+AiWKbbsstzkGZmZmZmjWR7YK28fCtARLwF/COnfa4elWpPRJwTEc2FpPsLy7OAfQqfb83vfwZm5uXScZXyvRgRT5Xl7wnsIakH8NmcdldEfBQRc4E/5LQtJa3DMtqW5iDNzMzMzBrL+oXllsLyO/l9YCfWZXGckN/fA26mwnFFxHzSUEVoPa71i3mydwrLA0mBV58a8i0vbdnlOEgzMzMzs0aiDqY3FEkrSLoeOAyYChwYEe9S+3FVyldLnsXJZw3GQZqZmZmZNZKJheV+FZZf78S6dIiktYB7gK8DbwNNEfFgXr3IcUnqRprIA1qPa2IxT4Xl14F3SZOKtJdvmW3Lrs5BmpmZmZk1ksdIQwQhT6whaV1gx5x2Rz0q1R5Jw0gTd+wCPAHsEBGPF7IU612aMGQ/oHfZ+tL74DyDYzH/XOCefP/ZPTltL0mr5PvUDshpT+d7z5bJtjRPwW9mZmZmDUbS0cDP8sfitPGTSdPGv1WvulUjaTxpVkaAZ0hT75dcExHXSLoB+AppCv4JwMakyUAeBD6dp+BfGRhHmnZ/Bqm3qzSd/7kR8cO8v61JU/D3YeEp+OcD+0XEHTnfMteW5p40MzMzM2swEXE1abr6J4B1SdPR3wbs3MBBRe/C8hbApwqvATn9MOBs0jDEjUmB0uWkoGo+QERMI03J/wtSoLch8ALwXeD00g4i4smc7+687zVJQdu+pQAt51sW27LLc0+amZmZmZlZA3FPmpmZmZmZWQNxkGZmZmZmZtZAHKSZmZmZmZk1EAdpZmZmZmZmDcRBmpmZmZmZWQNxkGZmZmZmZtZAHKSZmZmZWZcgaYSkyK9Bi5tvKdSvOe9zVGft0xqTgzQzMzMzW+ok9ZL0XUkPS/pQ0gxJL0q6VtKwetevzLvAI/k1q851WYSkTST9WtJESbMkvStpnKT/rXfdbMnoUe8KmJmZmdnyTVJf4B5gm5w0DXgRWB84HHgaeL4+tVtURPwZ+HO961GJpFVJbTkQmAk8B6wKbEFq33/vpHqsEBGzO2NfXZF70szMzMxsabuC1gDtImCNiNgqIvoCe5CCNAAk7SLpztzbNkvSC5J+KKlnIU9pWOD1ki6Q9L6ktyV9U9Jakm6RND1vu3+VOm0m6W+SZuYevYMK5S8y3FHSqPy5WdKXJY3P+/ibpKHFgiXtJeleSVNzj+Ej5fWQtLmkB/P+x0s6sMa23IkUoAFsHhHbRMTGwBrAIWX7WEXSTyS9lNtyiqS/Slojr+8u6SRJz+b1U3O9P1Moo6nQFkdJuk/STODYvH6IpBsltUiandvyZEmOMxaDIqLedTAzMzOz5ZSk1YDJpBFcTwLbRJULUElNwN057wdACzAkr74xIr6S8zUDG5CGIn4EzAU+AQQwntSztBKwel4/KCKmSBoBlIYETgfeANYFVgHm5bo9XZZvw4hozveJHZb3FcDLwFBAwEMRsXOu25eAm3L6G6Terk3yNgdHxC2SegMTSD2Jc/PyhqQOlF7ALyJiRJU22pfWXr6LgFuApyJiRlm+FYCHgW1z0uvAjFyXjfMxXQMckde/nNtrTWA+8PmIuD2fk/tyntnAVNJw0J8CfwEey9t9AEwk9eh1A66IiBMqHYO1zxGumZmZmS1NQ2i9xeaBagFadlbO+zqwUUQMBS7I6w6RtGVZ/qnAYGDX/FmkAGNj4Es5bRVghwr7uiQiNgU2IwVs3YHv1XA8PYAvRsQw4JKctpOkPnn5J7keNwADI2IwcE1OOy/n+QopQAP4UkRsDhxACtDacx8pECXX9x/AB7mHq9hbdwitAdppETEwt+emwHuSNiINNQW4MiI2IQWKL5JihHMq7PshYP2I2Ay4EjiNFKBNyMe6NfCNnPdYSetXKMNq4CDNzMzMzJYmFZbbG8K1fX6/IyLez8s3FNYPL8v/YER8ADQX0u6KiFnAK4W0/hX29RuAiHgD+HtO26Kd+gF8GBF/zMvPFdL7SVqbFOgAfBWYLymAI3PaJpLWBErB5izgD7kefwWmtLfz3GO2A/CfwFhSD+AKQBPwB0mfz1k/ld/nABcWtn8xIj4itWXp3NyQ130E/CmnfVJS97Ld/ywiZua88wr7GAJMzcf6q5zWjcrBsdXAE4eYmZmZ2dL0AmlIXw9gF0lqpzcN2g/mSqYCRMRcSQullZVRDBQraW990QeF5bllZRTLeZU0XLNczwppHapHDqbOAc6RtDKpF+4XpDb+Aq2BVq1qbe9JZZ9L9X0PeKlC/hkV0qwG7kkzMzMzs6UmIj4k3aMFafKQcyUt6CiQtJukPfLHx/L7PnlGSEg9UiVjlmDVvpz3vy7wLzntmcUpMCJaaO3VewbYNSJ2jIgdgYOB8yJiUmE/vYD9cz32APrSDknDJX1fUv+8z2nAHaR736A1SH0kv/cETixsv3EO7MbSGpwdmtetApR64p7IvWVteTS/Twf2LxzrXsBVEfGX9o7HKnOQZmZmZmZL2/HA43n5B8AUSU9JmgzcD2yV151J6p1aH3hF0gvA9/O6GyPiaZacEyU9T5r6f2XSvWwXL4Fyf5Df9wfelvS4pLdIwdt387obSJOKANwq6RnSZCBzaih/LeB8YFKe0XIc8Fo+hrnAzTnfjcC4vHyBpNckjSf1bK4VES8D1+X1x0l6idT7N5jUFqfXUJdzgQ9Js02+lo/1FVLP2qgatrcqHKSZmZmZ2VKV7y/bCTiJ1t6XIaSZF38B3JXzjQZ2z5+7ke7vmkC6/+obLFkHk2Yp7EWa2fDfIuKpxS00In4D7APcS7pXbBipl+tm0myM5Pu69iVNxDEf6EOaxOOtGnbxJGkCkofz5y1JPWIPAAdFxD/yPmaT7lO7kHR/3jpAP1JQXOptOwY4mXRv3fqktrgP2Csibq/hWCeQ7ku7kXQuN89ljAa+U8OxWBWegt/MzMzMzKyBuCfNzMzMzMysgThIMzMzMzMzayAO0szMzMzMzBqIgzQzMzMzM7MG4iDNzMzMzMysgThIMzMzMzMzayAO0szMzMzMzBqIgzQzMzMzM7MG4iDNzMzMzMysgfw/9x4uyT+AkTIAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 216x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "enr_dw.res2d.Term = enr_dw.res2d.Term.str.split(\" \\(GO\").str[0]\n",
    "gp.dotplot(enr_dw.res2d, \n",
    "           figsize=(3,5), \n",
    "           title=\"Down\", \n",
    "           cmap = plt.cm.winter_r, \n",
    "           size=5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "# concat results\n",
    "enr_up.res2d['UP_DW'] = \"UP\"\n",
    "enr_dw.res2d['UP_DW'] = \"DOWN\"\n",
    "enr_res = pd.concat([enr_up.res2d.head(), enr_dw.res2d.head()]) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "from gseapy.scipalette import SciPalette\n",
    "sci = SciPalette()\n",
    "NbDr = sci.create_colormap()\n",
    "# NbDr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 216x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# display multi-datasets\n",
    "ax = gp.dotplot(enr_res,figsize=(3,5), \n",
    "                x='UP_DW', \n",
    "                x_order = [\"UP\",\"DOWN\"], \n",
    "                title=\"GO_BP\", \n",
    "                cmap = NbDr.reversed(), \n",
    "                size=3, \n",
    "                show_ring=True)\n",
    "ax.set_xlabel(\"\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 216x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = gp.barplot(enr_res, figsize=(3,5), \n",
    "                group ='UP_DW', \n",
    "                title =\"GO_BP\", \n",
    "                color = ['b','r'])              "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Network Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "import networkx as nx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Name</th>\n",
       "      <th>Term</th>\n",
       "      <th>ES</th>\n",
       "      <th>NES</th>\n",
       "      <th>NOM p-val</th>\n",
       "      <th>FDR q-val</th>\n",
       "      <th>FWER p-val</th>\n",
       "      <th>Tag %</th>\n",
       "      <th>Gene %</th>\n",
       "      <th>Lead_genes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>gsea</td>\n",
       "      <td>cytokine-mediated signaling pathway (GO:0019221)</td>\n",
       "      <td>0.685491</td>\n",
       "      <td>3.759972</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>140/490</td>\n",
       "      <td>9.03%</td>\n",
       "      <td>ISG15;IFIT3;IFIT1;RSAD2;ISG20;CXCL10;IFITM3;CX...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>gsea</td>\n",
       "      <td>innate immune response (GO:0045087)</td>\n",
       "      <td>0.784391</td>\n",
       "      <td>3.66143</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>56/188</td>\n",
       "      <td>6.30%</td>\n",
       "      <td>ISG15;IFIT1;CXCL10;IFITM3;APOBEC3A;MX1;IFI6;OA...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>gsea</td>\n",
       "      <td>regulation of immune response (GO:0050776)</td>\n",
       "      <td>0.759354</td>\n",
       "      <td>3.549856</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>49/140</td>\n",
       "      <td>8.77%</td>\n",
       "      <td>RSAD2;IRF7;PLSCR1;HERC5;IL4I1;SLAMF7;IFITM1;HL...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>gsea</td>\n",
       "      <td>defense response to virus (GO:0051607)</td>\n",
       "      <td>0.903464</td>\n",
       "      <td>3.438759</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>42/108</td>\n",
       "      <td>2.85%</td>\n",
       "      <td>ISG15;IFIT3;IFIT1;RSAD2;ISG20;CXCL10;IFITM3;AP...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>gsea</td>\n",
       "      <td>response to cytokine (GO:0034097)</td>\n",
       "      <td>0.718931</td>\n",
       "      <td>3.37735</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>37/120</td>\n",
       "      <td>7.26%</td>\n",
       "      <td>ISG15;IFITM3;MX1;IFITM2;PLSCR1;MX2;BST2;EIF2AK...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Name                                              Term        ES       NES  \\\n",
       "0  gsea  cytokine-mediated signaling pathway (GO:0019221)  0.685491  3.759972   \n",
       "1  gsea               innate immune response (GO:0045087)  0.784391   3.66143   \n",
       "2  gsea        regulation of immune response (GO:0050776)  0.759354  3.549856   \n",
       "3  gsea            defense response to virus (GO:0051607)  0.903464  3.438759   \n",
       "4  gsea                 response to cytokine (GO:0034097)  0.718931   3.37735   \n",
       "\n",
       "  NOM p-val FDR q-val FWER p-val    Tag % Gene %  \\\n",
       "0       0.0       0.0        0.0  140/490  9.03%   \n",
       "1       0.0       0.0        0.0   56/188  6.30%   \n",
       "2       0.0       0.0        0.0   49/140  8.77%   \n",
       "3       0.0       0.0        0.0   42/108  2.85%   \n",
       "4       0.0       0.0        0.0   37/120  7.26%   \n",
       "\n",
       "                                          Lead_genes  \n",
       "0  ISG15;IFIT3;IFIT1;RSAD2;ISG20;CXCL10;IFITM3;CX...  \n",
       "1  ISG15;IFIT1;CXCL10;IFITM3;APOBEC3A;MX1;IFI6;OA...  \n",
       "2  RSAD2;IRF7;PLSCR1;HERC5;IL4I1;SLAMF7;IFITM1;HL...  \n",
       "3  ISG15;IFIT3;IFIT1;RSAD2;ISG20;CXCL10;IFITM3;AP...  \n",
       "4  ISG15;IFITM3;MX1;IFITM2;PLSCR1;MX2;BST2;EIF2AK...  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "res.res2d.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "# res.res2d.to_csv(\"data/test.out.txt\", sep=\"\\t\", index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "nodes, edges = gp.enrichment_map(res.res2d)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Name</th>\n",
       "      <th>Term</th>\n",
       "      <th>ES</th>\n",
       "      <th>NES</th>\n",
       "      <th>NOM p-val</th>\n",
       "      <th>FDR q-val</th>\n",
       "      <th>FWER p-val</th>\n",
       "      <th>Tag %</th>\n",
       "      <th>Gene %</th>\n",
       "      <th>Lead_genes</th>\n",
       "      <th>p_inv</th>\n",
       "      <th>Hits_ratio</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>node_idx</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>gsea</td>\n",
       "      <td>gene expression (GO:0010467)</td>\n",
       "      <td>-0.70455</td>\n",
       "      <td>-3.219153</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000009</td>\n",
       "      <td>0.0</td>\n",
       "      <td>134/322</td>\n",
       "      <td>10.13%</td>\n",
       "      <td>RPL6;RPL7;RPL15;RPL10;RPS3A;RPS6;RPL8;RPL21;RP...</td>\n",
       "      <td>5.061359</td>\n",
       "      <td>0.416149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>gsea</td>\n",
       "      <td>RNA splicing, via transesterification reaction...</td>\n",
       "      <td>-0.626583</td>\n",
       "      <td>-3.225436</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000009</td>\n",
       "      <td>0.0</td>\n",
       "      <td>128/234</td>\n",
       "      <td>19.45%</td>\n",
       "      <td>YBX1;PABPC1;HNRNPA1;DDX5;SRSF9;HNRNPM;RBMX;SF3...</td>\n",
       "      <td>5.061359</td>\n",
       "      <td>0.547009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>gsea</td>\n",
       "      <td>regulation of interferon-beta production (GO:0...</td>\n",
       "      <td>0.856704</td>\n",
       "      <td>3.259412</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000009</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14/44</td>\n",
       "      <td>4.94%</td>\n",
       "      <td>ISG15;OAS1;IRF7;DDX58;IFIH1;OAS3;OAS2;DHX58;HS...</td>\n",
       "      <td>5.061359</td>\n",
       "      <td>0.318182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>gsea</td>\n",
       "      <td>cellular response to interferon-gamma (GO:0071...</td>\n",
       "      <td>0.792726</td>\n",
       "      <td>3.327923</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000009</td>\n",
       "      <td>0.0</td>\n",
       "      <td>49/99</td>\n",
       "      <td>7.18%</td>\n",
       "      <td>CCL8;OAS1;MT2A;OASL;IRF7;GBP1;GBP4;CCL2;OAS3;O...</td>\n",
       "      <td>5.061359</td>\n",
       "      <td>0.494949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>gsea</td>\n",
       "      <td>defense response to symbiont (GO:0140546)</td>\n",
       "      <td>0.904717</td>\n",
       "      <td>3.362051</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000009</td>\n",
       "      <td>0.0</td>\n",
       "      <td>49/100</td>\n",
       "      <td>4.90%</td>\n",
       "      <td>ISG15;IFIT3;IFIT1;RSAD2;ISG20;IFITM3;APOBEC3A;...</td>\n",
       "      <td>5.061359</td>\n",
       "      <td>0.490000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Name                                               Term        ES  \\\n",
       "node_idx                                                                      \n",
       "0         gsea                       gene expression (GO:0010467)  -0.70455   \n",
       "1         gsea  RNA splicing, via transesterification reaction... -0.626583   \n",
       "2         gsea  regulation of interferon-beta production (GO:0...  0.856704   \n",
       "3         gsea  cellular response to interferon-gamma (GO:0071...  0.792726   \n",
       "4         gsea          defense response to symbiont (GO:0140546)  0.904717   \n",
       "\n",
       "               NES NOM p-val FDR q-val FWER p-val    Tag %  Gene %  \\\n",
       "node_idx                                                             \n",
       "0        -3.219153       0.0  0.000009        0.0  134/322  10.13%   \n",
       "1        -3.225436       0.0  0.000009        0.0  128/234  19.45%   \n",
       "2         3.259412       0.0  0.000009        0.0    14/44   4.94%   \n",
       "3         3.327923       0.0  0.000009        0.0    49/99   7.18%   \n",
       "4         3.362051       0.0  0.000009        0.0   49/100   4.90%   \n",
       "\n",
       "                                                 Lead_genes     p_inv  \\\n",
       "node_idx                                                                \n",
       "0         RPL6;RPL7;RPL15;RPL10;RPS3A;RPS6;RPL8;RPL21;RP...  5.061359   \n",
       "1         YBX1;PABPC1;HNRNPA1;DDX5;SRSF9;HNRNPM;RBMX;SF3...  5.061359   \n",
       "2         ISG15;OAS1;IRF7;DDX58;IFIH1;OAS3;OAS2;DHX58;HS...  5.061359   \n",
       "3         CCL8;OAS1;MT2A;OASL;IRF7;GBP1;GBP4;CCL2;OAS3;O...  5.061359   \n",
       "4         ISG15;IFIT3;IFIT1;RSAD2;ISG20;IFITM3;APOBEC3A;...  5.061359   \n",
       "\n",
       "          Hits_ratio  \n",
       "node_idx              \n",
       "0           0.416149  \n",
       "1           0.547009  \n",
       "2           0.318182  \n",
       "3           0.494949  \n",
       "4           0.490000  "
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nodes.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>src_idx</th>\n",
       "      <th>targ_idx</th>\n",
       "      <th>src_name</th>\n",
       "      <th>targ_name</th>\n",
       "      <th>jaccard_coef</th>\n",
       "      <th>overlap_coef</th>\n",
       "      <th>overlap_genes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>gene expression (GO:0010467)</td>\n",
       "      <td>RNA splicing, via transesterification reaction...</td>\n",
       "      <td>0.110169</td>\n",
       "      <td>0.203125</td>\n",
       "      <td>POLR2F,RBM8A,HNRNPK,POLR2E,SYNCRIP,SRSF6,SRRM1...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>gene expression (GO:0010467)</td>\n",
       "      <td>cellular macromolecule biosynthetic process (G...</td>\n",
       "      <td>0.645390</td>\n",
       "      <td>0.928571</td>\n",
       "      <td>RPL26,RPL36,RPS2,RPL41,POLR2J,RPL24,RPL29,RPS2...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>RNA splicing, via transesterification reaction...</td>\n",
       "      <td>cellular macromolecule biosynthetic process (G...</td>\n",
       "      <td>0.022624</td>\n",
       "      <td>0.051020</td>\n",
       "      <td>POLR2J,POLR2G,POLR2F,POLR2E,POLR2L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>regulation of interferon-beta production (GO:0...</td>\n",
       "      <td>cellular response to interferon-gamma (GO:0071...</td>\n",
       "      <td>0.105263</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>IRF1,OAS2,OAS1,TLR4,OAS3,IRF7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>regulation of interferon-beta production (GO:0...</td>\n",
       "      <td>defense response to symbiont (GO:0140546)</td>\n",
       "      <td>0.188679</td>\n",
       "      <td>0.714286</td>\n",
       "      <td>IRF1,TLR7,DDX58,OAS2,ISG15,LILRB1,OAS1,IFIH1,O...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   src_idx  targ_idx                                           src_name  \\\n",
       "0        0         1                       gene expression (GO:0010467)   \n",
       "1        0         8                       gene expression (GO:0010467)   \n",
       "2        1         8  RNA splicing, via transesterification reaction...   \n",
       "3        2         3  regulation of interferon-beta production (GO:0...   \n",
       "4        2         4  regulation of interferon-beta production (GO:0...   \n",
       "\n",
       "                                           targ_name  jaccard_coef  \\\n",
       "0  RNA splicing, via transesterification reaction...      0.110169   \n",
       "1  cellular macromolecule biosynthetic process (G...      0.645390   \n",
       "2  cellular macromolecule biosynthetic process (G...      0.022624   \n",
       "3  cellular response to interferon-gamma (GO:0071...      0.105263   \n",
       "4          defense response to symbiont (GO:0140546)      0.188679   \n",
       "\n",
       "   overlap_coef                                      overlap_genes  \n",
       "0      0.203125  POLR2F,RBM8A,HNRNPK,POLR2E,SYNCRIP,SRSF6,SRRM1...  \n",
       "1      0.928571  RPL26,RPL36,RPS2,RPL41,POLR2J,RPL24,RPL29,RPS2...  \n",
       "2      0.051020                 POLR2J,POLR2G,POLR2F,POLR2E,POLR2L  \n",
       "3      0.428571                      IRF1,OAS2,OAS1,TLR4,OAS3,IRF7  \n",
       "4      0.714286  IRF1,TLR7,DDX58,OAS2,ISG15,LILRB1,OAS1,IFIH1,O...  "
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "edges.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "# build graph\n",
    "G = nx.from_pandas_edgelist(edges, \n",
    "                            source='src_idx', \n",
    "                            target='targ_idx', \n",
    "                            edge_attr=['jaccard_coef', 'overlap_coef', 'overlap_genes'])\n",
    "\n",
    "# Add missing node if there is any\n",
    "for node in nodes.index:\n",
    "    if node not in G.nodes():\n",
    "        G.add_node(node)  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(8, 8))\n",
    "\n",
    "# init node cooridnates\n",
    "pos=nx.layout.spiral_layout(G)\n",
    "#node_size = nx.get_node_attributes()\n",
    "# draw node\n",
    "nx.draw_networkx_nodes(G, \n",
    "                       pos=pos, \n",
    "                       cmap=plt.cm.RdYlBu, \n",
    "                       node_color=list(nodes.NES),\n",
    "                       node_size=list(nodes.Hits_ratio *1000))\n",
    "# draw node label\n",
    "nx.draw_networkx_labels(G, \n",
    "                        pos=pos, \n",
    "                        labels=nodes.Term.to_dict())\n",
    "# draw edge\n",
    "edge_weight = nx.get_edge_attributes(G, 'jaccard_coef').values()\n",
    "nx.draw_networkx_edges(G, \n",
    "                       pos=pos, \n",
    "                       width=list(map(lambda x: x*10, edge_weight)), \n",
    "                       edge_color='#CDDBD4')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "file_extension": ".py",
  "kernelspec": {
   "display_name": "DrugAI",
   "language": "python",
   "name": "drugai"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.2"
  },
  "mimetype": "text/x-python",
  "name": "python",
  "npconvert_exporter": "python",
  "pygments_lexer": "ipython3",
  "version": 3,
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "state": {},
    "version_major": 2,
    "version_minor": 0
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
